{ "discoveryVersion": "v1", "description": "Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.", "icons": { "x16": "http://www.google.com/images/icons/product/search-16.gif", "x32": "http://www.google.com/images/icons/product/search-32.gif" }, "batchPath": "batch", "mtlsRootUrl": "https://vision.mtls.googleapis.com/", "parameters": { "access_token": { "location": "query", "type": "string", "description": "OAuth access token." }, "oauth_token": { "type": "string", "description": "OAuth 2.0 token for the current user.", "location": "query" }, "uploadType": { "type": "string", "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").", "location": "query" }, "$.xgafv": { "description": "V1 error format.", "location": "query", "enum": [ "1", "2" ], "type": "string", "enumDescriptions": [ "v1 error format", "v2 error format" ] }, "fields": { "type": "string", "description": "Selector specifying which fields to include in a partial response.", "location": "query" }, "prettyPrint": { "type": "boolean", "description": "Returns response with indentations and line breaks.", "default": "true", "location": "query" }, "alt": { "default": "json", "enumDescriptions": [ "Responses with Content-Type of application/json", "Media download with context-dependent Content-Type", "Responses with Content-Type of application/x-protobuf" ], "type": "string", "enum": [ "json", "media", "proto" ], "location": "query", "description": "Data format for response." }, "callback": { "location": "query", "type": "string", "description": "JSONP" }, "key": { "location": "query", "type": "string", "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token." }, "upload_protocol": { "location": "query", "type": "string", "description": "Upload protocol for media (e.g. \"raw\", \"multipart\")." }, "quotaUser": { "type": "string", "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.", "location": "query" } }, "servicePath": "", "revision": "20260727", "basePath": "", "canonicalName": "Vision", "resources": { "operations": { "methods": { "delete": { "response": { "$ref": "Empty" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "parameterOrder": [ "name" ], "flatPath": "v1/operations/{operationsId}", "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", "path": "v1/{+name}", "httpMethod": "DELETE", "parameters": { "name": { "required": true, "type": "string", "description": "The name of the operation resource to be deleted.", "pattern": "^operations/.*$", "location": "path" } }, "id": "vision.operations.delete" }, "list": { "path": "v1/{+name}", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "flatPath": "v1/operations", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "ListOperationsResponse" }, "id": "vision.operations.list", "parameters": { "filter": { "description": "The standard list filter.", "type": "string", "location": "query" }, "returnPartialSuccess": { "location": "query", "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "type": "boolean" }, "name": { "location": "path", "description": "The name of the operation's parent resource.", "pattern": "^operations$", "required": true, "type": "string" }, "pageToken": { "location": "query", "description": "The standard list page token.", "type": "string" }, "pageSize": { "description": "The standard list page size.", "type": "integer", "location": "query", "format": "int32" } }, "httpMethod": "GET" }, "cancel": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Empty" }, "request": { "$ref": "CancelOperationRequest" }, "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "path": "v1/{+name}:cancel", "parameterOrder": [ "name" ], "flatPath": "v1/operations/{operationsId}:cancel", "id": "vision.operations.cancel", "httpMethod": "POST", "parameters": { "name": { "description": "The name of the operation resource to be cancelled.", "pattern": "^operations/.*$", "location": "path", "required": true, "type": "string" } } }, "get": { "parameters": { "name": { "description": "The name of the operation resource.", "pattern": "^operations/[^/]+$", "location": "path", "required": true, "type": "string" } }, "httpMethod": "GET", "id": "vision.operations.get", "flatPath": "v1/operations/{operationsId}", "parameterOrder": [ "name" ], "path": "v1/{+name}", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "response": { "$ref": "Operation" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ] } } }, "projects": { "resources": { "operations": { "methods": { "get": { "path": "v1/{+name}", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "flatPath": "v1/projects/{projectsId}/operations/{operationsId}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Operation" }, "id": "vision.projects.operations.get", "parameters": { "name": { "required": true, "type": "string", "location": "path", "description": "The name of the operation resource.", "pattern": "^projects/[^/]+/operations/[^/]+$" } }, "httpMethod": "GET" } } }, "files": { "methods": { "annotate": { "id": "vision.projects.files.annotate", "httpMethod": "POST", "parameters": { "parent": { "required": true, "type": "string", "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+$" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "BatchAnnotateFilesResponse" }, "request": { "$ref": "BatchAnnotateFilesRequest" }, "description": "Service that performs image detection and annotation for a batch of files. Now only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. This service will extract at most 5 (customers can specify which 5 in AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted.", "path": "v1/{+parent}/files:annotate", "parameterOrder": [ "parent" ], "flatPath": "v1/projects/{projectsId}/files:annotate" }, "asyncBatchAnnotate": { "id": "vision.projects.files.asyncBatchAnnotate", "httpMethod": "POST", "parameters": { "parent": { "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+$", "required": true, "type": "string" } }, "request": { "$ref": "AsyncBatchAnnotateFilesRequest" }, "description": "Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateFilesResponse` (results).", "path": "v1/{+parent}/files:asyncBatchAnnotate", "parameterOrder": [ "parent" ], "flatPath": "v1/projects/{projectsId}/files:asyncBatchAnnotate", "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Operation" } } } }, "locations": { "resources": { "files": { "methods": { "annotate": { "path": "v1/{+parent}/files:annotate", "request": { "$ref": "BatchAnnotateFilesRequest" }, "description": "Service that performs image detection and annotation for a batch of files. Now only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. This service will extract at most 5 (customers can specify which 5 in AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/files:annotate", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "BatchAnnotateFilesResponse" }, "id": "vision.projects.locations.files.annotate", "parameters": { "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string" } }, "httpMethod": "POST" }, "asyncBatchAnnotate": { "request": { "$ref": "AsyncBatchAnnotateFilesRequest" }, "description": "Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateFilesResponse` (results).", "path": "v1/{+parent}/files:asyncBatchAnnotate", "parameterOrder": [ "parent" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/files:asyncBatchAnnotate", "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Operation" }, "id": "vision.projects.locations.files.asyncBatchAnnotate", "httpMethod": "POST", "parameters": { "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string" } } } } }, "products": { "resources": { "referenceImages": { "methods": { "create": { "response": { "$ref": "ReferenceImage" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}/referenceImages", "parameterOrder": [ "parent" ], "path": "v1/{+parent}/referenceImages", "request": { "$ref": "ReferenceImage" }, "description": "Creates and returns a new ReferenceImage resource. The `bounding_poly` field is optional. If `bounding_poly` is not specified, the system will try to detect regions of interest in the image that are compatible with the product_category on the parent product. If it is specified, detection is ALWAYS skipped. The system converts polygons into non-rotated rectangles. Note that the pipeline will resize the image if the image resolution is too large to process (above 50MP). Possible errors: * Returns INVALID_ARGUMENT if the image_uri is missing or longer than 4096 characters. * Returns INVALID_ARGUMENT if the product does not exist. * Returns INVALID_ARGUMENT if bounding_poly is not provided, and nothing compatible with the parent product's product_category is detected. * Returns INVALID_ARGUMENT if bounding_poly contains more than 10 polygons.", "parameters": { "parent": { "location": "path", "description": "Required. Resource name of the product in which to create the reference image. Format is `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "required": true, "type": "string" }, "referenceImageId": { "description": "A user-supplied resource id for the ReferenceImage to be added. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`.", "type": "string", "location": "query" } }, "httpMethod": "POST", "id": "vision.projects.locations.products.referenceImages.create" }, "get": { "parameters": { "name": { "location": "path", "description": "Required. The resource name of the ReferenceImage to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+/referenceImages/[^/]+$", "required": true, "type": "string" } }, "httpMethod": "GET", "id": "vision.projects.locations.products.referenceImages.get", "response": { "$ref": "ReferenceImage" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}/referenceImages/{referenceImagesId}", "parameterOrder": [ "name" ], "path": "v1/{+name}", "description": "Gets information associated with a ReferenceImage. Possible errors: * Returns NOT_FOUND if the specified image does not exist." }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "ListReferenceImagesResponse" }, "path": "v1/{+parent}/referenceImages", "description": "Lists reference images. Possible errors: * Returns NOT_FOUND if the parent product does not exist. * Returns INVALID_ARGUMENT if the page_size is greater than 100, or less than 1.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}/referenceImages", "parameterOrder": [ "parent" ], "id": "vision.projects.locations.products.referenceImages.list", "parameters": { "parent": { "required": true, "type": "string", "description": "Required. Resource name of the product containing the reference images. Format is `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "location": "path" }, "pageSize": { "description": "The maximum number of items to return. Default 10, maximum 100.", "type": "integer", "format": "int32", "location": "query" }, "pageToken": { "description": "A token identifying a page of results to be returned. This is the value of `nextPageToken` returned in a previous reference image list request. Defaults to the first page if not specified.", "type": "string", "location": "query" } }, "httpMethod": "GET" }, "delete": { "httpMethod": "DELETE", "parameters": { "name": { "location": "path", "description": "Required. The resource name of the reference image to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+/referenceImages/[^/]+$", "required": true, "type": "string" } }, "id": "vision.projects.locations.products.referenceImages.delete", "response": { "$ref": "Empty" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "parameterOrder": [ "name" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}/referenceImages/{referenceImagesId}", "description": "Permanently deletes a reference image. The image metadata will be deleted right away, but search queries against ProductSets containing the image may still work until all related caches are refreshed. The actual image files are not deleted from Google Cloud Storage.", "path": "v1/{+name}" } } } }, "methods": { "list": { "response": { "$ref": "ListProductsResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products", "parameterOrder": [ "parent" ], "path": "v1/{+parent}/products", "description": "Lists products in an unspecified order. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100 or less than 1.", "parameters": { "pageSize": { "format": "int32", "location": "query", "description": "The maximum number of items to return. Default 10, maximum 100.", "type": "integer" }, "pageToken": { "location": "query", "description": "The next_page_token returned from a previous List request, if any.", "type": "string" }, "parent": { "location": "path", "description": "Required. The project OR ProductSet from which Products should be listed. Format: `projects/PROJECT_ID/locations/LOC_ID`", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "type": "string" } }, "httpMethod": "GET", "id": "vision.projects.locations.products.list" }, "create": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Product" }, "request": { "$ref": "Product" }, "description": "Creates and returns a new product resource. Possible errors: * Returns INVALID_ARGUMENT if display_name is missing or longer than 4096 characters. * Returns INVALID_ARGUMENT if description is longer than 4096 characters. * Returns INVALID_ARGUMENT if product_category is missing or invalid.", "path": "v1/{+parent}/products", "parameterOrder": [ "parent" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products", "id": "vision.projects.locations.products.create", "httpMethod": "POST", "parameters": { "productId": { "description": "A user-supplied resource id for this Product. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`.", "type": "string", "location": "query" }, "parent": { "description": "Required. The project in which the Product should be created. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string" } } }, "get": { "httpMethod": "GET", "parameters": { "name": { "location": "path", "description": "Required. Resource name of the Product to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "required": true, "type": "string" } }, "id": "vision.projects.locations.products.get", "parameterOrder": [ "name" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}", "description": "Gets information associated with a Product. Possible errors: * Returns NOT_FOUND if the Product does not exist.", "path": "v1/{+name}", "response": { "$ref": "Product" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ] }, "patch": { "response": { "$ref": "Product" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}", "parameterOrder": [ "name" ], "path": "v1/{+name}", "request": { "$ref": "Product" }, "description": "Makes changes to a Product resource. Only the `display_name`, `description`, and `labels` fields can be updated right now. If labels are updated, the change will not be reflected in queries until the next index time. Possible errors: * Returns NOT_FOUND if the Product does not exist. * Returns INVALID_ARGUMENT if display_name is present in update_mask but is missing from the request or longer than 4096 characters. * Returns INVALID_ARGUMENT if description is present in update_mask but is longer than 4096 characters. * Returns INVALID_ARGUMENT if product_category is present in update_mask.", "parameters": { "name": { "location": "path", "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "required": true, "type": "string" }, "updateMask": { "description": "The FieldMask that specifies which fields to update. If update_mask isn't specified, all mutable fields are to be updated. Valid mask paths include `product_labels`, `display_name`, and `description`.", "type": "string", "location": "query", "format": "google-fieldmask" } }, "httpMethod": "PATCH", "id": "vision.projects.locations.products.patch" }, "purge": { "parameters": { "parent": { "description": "Required. The project and location in which the Products should be deleted. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string" } }, "httpMethod": "POST", "id": "vision.projects.locations.products.purge", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products:purge", "parameterOrder": [ "parent" ], "path": "v1/{+parent}/products:purge", "request": { "$ref": "PurgeProductsRequest" }, "description": "Asynchronous API to delete all Products in a ProductSet or all Products that are in no ProductSet. If a Product is a member of the specified ProductSet in addition to other ProductSets, the Product will still be deleted. It is recommended to not delete the specified ProductSet until after this operation has completed. It is also recommended to not add any of the Products involved in the batch delete to a new ProductSet while this operation is running because those Products may still end up deleted. It's not possible to undo the PurgeProducts operation. Therefore, it is recommended to keep the csv files used in ImportProductSets (if that was how you originally built the Product Set) before starting PurgeProducts, in case you need to re-import the data after deletion. If the plan is to purge all of the Products from a ProductSet and then re-use the empty ProductSet to re-import new Products into the empty ProductSet, you must wait until the PurgeProducts operation has finished for that ProductSet. The google.longrunning.Operation API can be used to keep track of the progress and results of the request. `Operation.metadata` contains `BatchOperationMetadata`. (progress)", "response": { "$ref": "Operation" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ] }, "delete": { "httpMethod": "DELETE", "parameters": { "name": { "description": "Required. Resource name of product to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`", "pattern": "^projects/[^/]+/locations/[^/]+/products/[^/]+$", "location": "path", "required": true, "type": "string" } }, "id": "vision.projects.locations.products.delete", "response": { "$ref": "Empty" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "parameterOrder": [ "name" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/products/{productsId}", "description": "Permanently deletes a product and its reference images. Metadata of the product and all its images will be deleted right away, but search queries against ProductSets containing the product may still work until all related caches are refreshed.", "path": "v1/{+name}" } } }, "operations": { "methods": { "get": { "httpMethod": "GET", "parameters": { "name": { "required": true, "type": "string", "description": "The name of the operation resource.", "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "location": "path" } }, "id": "vision.projects.locations.operations.get", "response": { "$ref": "Operation" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "parameterOrder": [ "name" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}", "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "path": "v1/{+name}" } } }, "productSets": { "methods": { "import": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Operation" }, "request": { "$ref": "ImportProductSetsRequest" }, "description": "Asynchronous API that imports a list of reference images to specified product sets based on a list of image information. The google.longrunning.Operation API can be used to keep track of the progress and results of the request. `Operation.metadata` contains `BatchOperationMetadata`. (progress) `Operation.response` contains `ImportProductSetsResponse`. (results) The input source of this method is a csv file on Google Cloud Storage. For the format of the csv file please see ImportProductSetsGcsSource.csv_file_uri.", "path": "v1/{+parent}/productSets:import", "parameterOrder": [ "parent" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets:import", "id": "vision.projects.locations.productSets.import", "httpMethod": "POST", "parameters": { "parent": { "required": true, "type": "string", "location": "path", "description": "Required. The project in which the ProductSets should be imported. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+$" } } }, "create": { "parameters": { "parent": { "required": true, "type": "string", "description": "Required. The project in which the ProductSet should be created. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" }, "productSetId": { "description": "A user-supplied resource id for this ProductSet. If set, the server will attempt to use this value as the resource id. If it is already in use, an error is returned with code ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the character `/`.", "type": "string", "location": "query" } }, "httpMethod": "POST", "id": "vision.projects.locations.productSets.create", "response": { "$ref": "ProductSet" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets", "parameterOrder": [ "parent" ], "path": "v1/{+parent}/productSets", "request": { "$ref": "ProductSet" }, "description": "Creates and returns a new ProductSet resource. Possible errors: * Returns INVALID_ARGUMENT if display_name is missing, or is longer than 4096 characters." }, "get": { "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}", "parameterOrder": [ "name" ], "path": "v1/{+name}", "description": "Gets information associated with a ProductSet. Possible errors: * Returns NOT_FOUND if the ProductSet does not exist.", "response": { "$ref": "ProductSet" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "parameters": { "name": { "required": true, "type": "string", "description": "Required. Resource name of the ProductSet to get. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$", "location": "path" } }, "httpMethod": "GET", "id": "vision.projects.locations.productSets.get" }, "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "ProductSet" }, "path": "v1/{+name}", "request": { "$ref": "ProductSet" }, "description": "Makes changes to a ProductSet resource. Only display_name can be updated currently. Possible errors: * Returns NOT_FOUND if the ProductSet does not exist. * Returns INVALID_ARGUMENT if display_name is present in update_mask but missing from the request or longer than 4096 characters.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}", "parameterOrder": [ "name" ], "id": "vision.projects.locations.productSets.patch", "parameters": { "updateMask": { "location": "query", "format": "google-fieldmask", "description": "The FieldMask that specifies which fields to update. If update_mask isn't specified, all mutable fields are to be updated. Valid mask path is `display_name`.", "type": "string" }, "name": { "required": true, "type": "string", "location": "path", "description": "The resource name of the ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`. This field is ignored when creating a ProductSet.", "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$" } }, "httpMethod": "PATCH" }, "delete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Empty" }, "description": "Permanently deletes a ProductSet. Products and ReferenceImages in the ProductSet are not deleted. The actual image files are not deleted from Google Cloud Storage.", "path": "v1/{+name}", "parameterOrder": [ "name" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}", "id": "vision.projects.locations.productSets.delete", "httpMethod": "DELETE", "parameters": { "name": { "location": "path", "description": "Required. Resource name of the ProductSet to delete. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$", "required": true, "type": "string" } } }, "list": { "parameters": { "pageSize": { "description": "The maximum number of items to return. Default 10, maximum 100.", "type": "integer", "location": "query", "format": "int32" }, "pageToken": { "location": "query", "description": "The next_page_token returned from a previous List request, if any.", "type": "string" }, "parent": { "location": "path", "description": "Required. The project from which ProductSets should be listed. Format is `projects/PROJECT_ID/locations/LOC_ID`.", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "type": "string" } }, "httpMethod": "GET", "id": "vision.projects.locations.productSets.list", "response": { "$ref": "ListProductSetsResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets", "parameterOrder": [ "parent" ], "path": "v1/{+parent}/productSets", "description": "Lists ProductSets in an unspecified order. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100, or less than 1." }, "addProduct": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Empty" }, "request": { "$ref": "AddProductToProductSetRequest" }, "description": "Adds a Product to the specified ProductSet. If the Product is already present, no change is made. One Product can be added to at most 100 ProductSets. Possible errors: * Returns NOT_FOUND if the Product or the ProductSet doesn't exist.", "path": "v1/{+name}:addProduct", "parameterOrder": [ "name" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}:addProduct", "id": "vision.projects.locations.productSets.addProduct", "httpMethod": "POST", "parameters": { "name": { "description": "Required. The resource name for the ProductSet to modify. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$", "location": "path", "required": true, "type": "string" } } }, "removeProduct": { "path": "v1/{+name}:removeProduct", "request": { "$ref": "RemoveProductFromProductSetRequest" }, "description": "Removes a Product from the specified ProductSet.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}:removeProduct", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Empty" }, "id": "vision.projects.locations.productSets.removeProduct", "parameters": { "name": { "required": true, "type": "string", "description": "Required. The resource name for the ProductSet to modify. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$", "location": "path" } }, "httpMethod": "POST" } }, "resources": { "products": { "methods": { "list": { "parameters": { "pageSize": { "format": "int32", "location": "query", "description": "The maximum number of items to return. Default 10, maximum 100.", "type": "integer" }, "pageToken": { "location": "query", "description": "The next_page_token returned from a previous List request, if any.", "type": "string" }, "name": { "required": true, "type": "string", "location": "path", "description": "Required. The ProductSet resource for which to retrieve Products. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`", "pattern": "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$" } }, "httpMethod": "GET", "id": "vision.projects.locations.productSets.products.list", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/productSets/{productSetsId}/products", "parameterOrder": [ "name" ], "path": "v1/{+name}/products", "description": "Lists the Products in a ProductSet, in an unspecified order. If the ProductSet does not exist, the products field of the response will be empty. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater than 100 or less than 1.", "response": { "$ref": "ListProductsInProductSetResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ] } } } } }, "images": { "methods": { "annotate": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "BatchAnnotateImagesResponse" }, "path": "v1/{+parent}/images:annotate", "request": { "$ref": "BatchAnnotateImagesRequest" }, "description": "Run image detection and annotation for a batch of images.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/images:annotate", "parameterOrder": [ "parent" ], "id": "vision.projects.locations.images.annotate", "parameters": { "parent": { "required": true, "type": "string", "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+/locations/[^/]+$" } }, "httpMethod": "POST" }, "asyncBatchAnnotate": { "request": { "$ref": "AsyncBatchAnnotateImagesRequest" }, "description": "Run asynchronous image detection and annotation for a list of images. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateImagesResponse` (results). This service will write image annotation outputs to json files in customer GCS bucket, each json file containing BatchAnnotateImagesResponse proto.", "path": "v1/{+parent}/images:asyncBatchAnnotate", "parameterOrder": [ "parent" ], "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/images:asyncBatchAnnotate", "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Operation" }, "id": "vision.projects.locations.images.asyncBatchAnnotate", "httpMethod": "POST", "parameters": { "parent": { "required": true, "type": "string", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path" } } } } } } }, "images": { "methods": { "annotate": { "request": { "$ref": "BatchAnnotateImagesRequest" }, "description": "Run image detection and annotation for a batch of images.", "path": "v1/{+parent}/images:annotate", "parameterOrder": [ "parent" ], "flatPath": "v1/projects/{projectsId}/images:annotate", "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "BatchAnnotateImagesResponse" }, "id": "vision.projects.images.annotate", "httpMethod": "POST", "parameters": { "parent": { "location": "path", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+$", "required": true, "type": "string" } } }, "asyncBatchAnnotate": { "response": { "$ref": "Operation" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "flatPath": "v1/projects/{projectsId}/images:asyncBatchAnnotate", "parameterOrder": [ "parent" ], "path": "v1/{+parent}/images:asyncBatchAnnotate", "request": { "$ref": "AsyncBatchAnnotateImagesRequest" }, "description": "Run asynchronous image detection and annotation for a list of images. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateImagesResponse` (results). This service will write image annotation outputs to json files in customer GCS bucket, each json file containing BatchAnnotateImagesResponse proto.", "parameters": { "parent": { "required": true, "type": "string", "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "pattern": "^projects/[^/]+$", "location": "path" } }, "httpMethod": "POST", "id": "vision.projects.images.asyncBatchAnnotate" } } } } }, "images": { "methods": { "annotate": { "id": "vision.images.annotate", "parameters": {}, "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "BatchAnnotateImagesResponse" }, "path": "v1/images:annotate", "request": { "$ref": "BatchAnnotateImagesRequest" }, "description": "Run image detection and annotation for a batch of images.", "flatPath": "v1/images:annotate", "parameterOrder": [] }, "asyncBatchAnnotate": { "parameters": {}, "httpMethod": "POST", "id": "vision.images.asyncBatchAnnotate", "response": { "$ref": "Operation" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "flatPath": "v1/images:asyncBatchAnnotate", "parameterOrder": [], "path": "v1/images:asyncBatchAnnotate", "request": { "$ref": "AsyncBatchAnnotateImagesRequest" }, "description": "Run asynchronous image detection and annotation for a list of images. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateImagesResponse` (results). This service will write image annotation outputs to json files in customer GCS bucket, each json file containing BatchAnnotateImagesResponse proto." } } }, "files": { "methods": { "annotate": { "parameters": {}, "httpMethod": "POST", "id": "vision.files.annotate", "flatPath": "v1/files:annotate", "parameterOrder": [], "path": "v1/files:annotate", "request": { "$ref": "BatchAnnotateFilesRequest" }, "description": "Service that performs image detection and annotation for a batch of files. Now only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. This service will extract at most 5 (customers can specify which 5 in AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted.", "response": { "$ref": "BatchAnnotateFilesResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ] }, "asyncBatchAnnotate": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Operation" }, "path": "v1/files:asyncBatchAnnotate", "request": { "$ref": "AsyncBatchAnnotateFilesRequest" }, "description": "Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Progress and results can be retrieved through the `google.longrunning.Operations` interface. `Operation.metadata` contains `OperationMetadata` (metadata). `Operation.response` contains `AsyncBatchAnnotateFilesResponse` (results).", "flatPath": "v1/files:asyncBatchAnnotate", "parameterOrder": [], "id": "vision.files.asyncBatchAnnotate", "parameters": {}, "httpMethod": "POST" } } }, "locations": { "resources": { "operations": { "methods": { "get": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform", "https://www.googleapis.com/auth/cloud-vision" ], "response": { "$ref": "Operation" }, "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "path": "v1/{+name}", "parameterOrder": [ "name" ], "flatPath": "v1/locations/{locationsId}/operations/{operationsId}", "id": "vision.locations.operations.get", "httpMethod": "GET", "parameters": { "name": { "location": "path", "description": "The name of the operation resource.", "pattern": "^locations/[^/]+/operations/[^/]+$", "required": true, "type": "string" } } } } } } } }, "rootUrl": "https://vision.googleapis.com/", "fullyEncodeReservedExpansion": true, "ownerName": "Google", "baseUrl": "https://vision.googleapis.com/", "kind": "discovery#restDescription", "auth": { "oauth2": { "scopes": { "https://www.googleapis.com/auth/cloud-platform": { "description": "See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account." }, "https://www.googleapis.com/auth/cloud-vision": { "description": "Apply machine learning models to understand and label images" } } } }, "version": "v1", "schemas": { "GoogleCloudVisionV1p3beta1AnnotateFileResponse": { "properties": { "inputConfig": { "description": "Information about the file for which this response is generated.", "$ref": "GoogleCloudVisionV1p3beta1InputConfig" }, "responses": { "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1AnnotateImageResponse" } }, "totalPages": { "description": "This field gives the total number of pages in the file.", "type": "integer", "format": "int32" }, "error": { "$ref": "Status", "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case." } }, "id": "GoogleCloudVisionV1p3beta1AnnotateFileResponse", "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "type": "object" }, "Operation": { "id": "Operation", "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object", "properties": { "done": { "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", "type": "boolean" }, "response": { "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } }, "name": { "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, "metadata": { "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." }, "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "type": "object" }, "error": { "description": "The error result of the operation in case of failure or cancellation.", "$ref": "Status" } } }, "GoogleCloudVisionV1p3beta1TextAnnotation": { "properties": { "pages": { "items": { "$ref": "GoogleCloudVisionV1p3beta1Page" }, "description": "List of pages detected by OCR.", "type": "array" }, "text": { "description": "UTF-8 text detected on the pages.", "type": "string" } }, "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.", "type": "object", "id": "GoogleCloudVisionV1p3beta1TextAnnotation" }, "GoogleCloudVisionV1p2beta1LocationInfo": { "description": "Detected entity location information.", "type": "object", "id": "GoogleCloudVisionV1p2beta1LocationInfo", "properties": { "latLng": { "$ref": "LatLng", "description": "lat/long location coordinates." } } }, "ImportProductSetsGcsSource": { "id": "ImportProductSetsGcsSource", "description": "The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line.", "type": "object", "properties": { "csvFileUri": { "description": "The Google Cloud Storage URI of the input csv file. The URI must start with `gs://`. The format of the input csv file should be one image per line. In each line, there are 8 columns. 1. image-uri 2. image-id 3. product-set-id 4. product-id 5. product-category 6. product-display-name 7. labels 8. bounding-poly The `image-uri`, `product-set-id`, `product-id`, and `product-category` columns are required. All other columns are optional. If the `ProductSet` or `Product` specified by the `product-set-id` and `product-id` values does not exist, then the system will create a new `ProductSet` or `Product` for the image. In this case, the `product-display-name` column refers to display_name, the `product-category` column refers to product_category, and the `labels` column refers to product_labels. The `image-id` column is optional but must be unique if provided. If it is empty, the system will automatically assign a unique id to the image. The `product-display-name` column is optional. If it is empty, the system sets the display_name field for the product to a space (\" \"). You can update the `display_name` later by using the API. If a `Product` with the specified `product-id` already exists, then the system ignores the `product-display-name`, `product-category`, and `labels` columns. The `labels` column (optional) is a line containing a list of comma-separated key-value pairs, in the following format: \"key_1=value_1,key_2=value_2,...,key_n=value_n\" The `bounding-poly` column (optional) identifies one region of interest from the image in the same manner as `CreateReferenceImage`. If you do not specify the `bounding-poly` column, then the system will try to detect regions of interest automatically. At most one `bounding-poly` column is allowed per line. If the image contains multiple regions of interest, add a line to the CSV file that includes the same product information, and the `bounding-poly` values for each region of interest. The `bounding-poly` column must contain an even number of comma-separated numbers, in the format \"p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y\". Use non-negative integers for absolute bounding polygons, and float values in [0, 1] for normalized bounding polygons. The system will resize the image if the image resolution is too large to process (larger than 20MP).", "type": "string" } } }, "GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse": { "description": "Response to an async batch file annotation request.", "type": "object", "id": "GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse", "properties": { "responses": { "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse" } } } }, "GoogleCloudVisionV1p1beta1ImageProperties": { "properties": { "dominantColors": { "$ref": "GoogleCloudVisionV1p1beta1DominantColorsAnnotation", "description": "If present, dominant colors completed successfully." } }, "id": "GoogleCloudVisionV1p1beta1ImageProperties", "description": "Stores image properties, such as dominant colors.", "type": "object" }, "GoogleCloudVisionV1p4beta1DominantColorsAnnotation": { "properties": { "colors": { "description": "RGB color values with their score and pixel fraction.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1ColorInfo" } } }, "id": "GoogleCloudVisionV1p4beta1DominantColorsAnnotation", "description": "Set of dominant colors and their corresponding scores.", "type": "object" }, "GoogleCloudVisionV1p2beta1SafeSearchAnnotation": { "properties": { "medical": { "description": "Likelihood that this is a medical image.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "adult": { "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "racy": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "violence": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "type": "string" }, "spoof": { "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] } }, "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "type": "object", "id": "GoogleCloudVisionV1p2beta1SafeSearchAnnotation" }, "GoogleCloudVisionV1p2beta1GcsDestination": { "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } }, "description": "The Google Cloud Storage location where the output will be written to.", "type": "object", "id": "GoogleCloudVisionV1p2beta1GcsDestination" }, "GoogleCloudVisionV1p4beta1ProductKeyValue": { "description": "A product label represented as a key-value pair.", "type": "object", "id": "GoogleCloudVisionV1p4beta1ProductKeyValue", "properties": { "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } } }, "Position": { "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "type": "object", "id": "Position", "properties": { "z": { "format": "float", "description": "Z coordinate (or depth).", "type": "number" }, "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "format": "float", "description": "Y coordinate.", "type": "number" } } }, "GoogleCloudVisionV1p2beta1CropHint": { "description": "Single crop hint that is used to generate a new crop when serving an image.", "type": "object", "id": "GoogleCloudVisionV1p2beta1CropHint", "properties": { "boundingPoly": { "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale.", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number" }, "importanceFraction": { "format": "float", "description": "Fraction of importance of this salient region with respect to the original image.", "type": "number" } } }, "GoogleCloudVisionV1p2beta1WebDetectionWebLabel": { "description": "Label to provide extra metadata for the web detection.", "type": "object", "id": "GoogleCloudVisionV1p2beta1WebDetectionWebLabel", "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1ProductSearchResults": { "properties": { "indexTime": { "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "type": "string", "format": "google-datetime" }, "results": { "description": "List of results, one for each product match.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResultsResult" } }, "productGroupedResults": { "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult" } } }, "description": "Results for a product search request.", "type": "object", "id": "GoogleCloudVisionV1p2beta1ProductSearchResults" }, "ImageContext": { "properties": { "latLongRect": { "$ref": "LatLongRect", "description": "Not used." }, "webDetectionParams": { "description": "Parameters for web detection.", "$ref": "WebDetectionParams" }, "cropHintsParams": { "description": "Parameters for crop hints annotation request.", "$ref": "CropHintsParams" }, "productSearchParams": { "description": "Parameters for product search.", "$ref": "ProductSearchParams" }, "languageHints": { "description": "List of languages to use for TEXT_DETECTION. In most cases, an empty value yields the best results since it enables automatic language detection. For languages based on the Latin alphabet, setting `language_hints` is not needed. In rare cases, when the language of the text in the image is known, setting a hint will help get better results (although it will be a significant hindrance if the hint is wrong). Text detection returns an error if one or more of the specified languages is not one of the [supported languages](https://cloud.google.com/vision/docs/languages).", "type": "array", "items": { "type": "string" } }, "textDetectionParams": { "$ref": "TextDetectionParams", "description": "Parameters for text detection and document text detection." } }, "id": "ImageContext", "description": "Image context and/or feature-specific parameters.", "type": "object" }, "GoogleCloudVisionV1p4beta1ImportProductSetsResponse": { "description": "Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field.", "type": "object", "id": "GoogleCloudVisionV1p4beta1ImportProductSetsResponse", "properties": { "referenceImages": { "description": "The list of reference_images that are imported successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1ReferenceImage" } }, "statuses": { "description": "The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0.", "type": "array", "items": { "$ref": "Status" } } } }, "ColorInfo": { "properties": { "color": { "description": "RGB components of the color.", "$ref": "Color" }, "score": { "description": "Image-specific score for this color. Value in range [0, 1].", "type": "number", "format": "float" }, "pixelFraction": { "format": "float", "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1].", "type": "number" } }, "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "type": "object", "id": "ColorInfo" }, "GoogleCloudVisionV1p4beta1WebDetectionWebLabel": { "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1WebDetectionWebLabel", "description": "Label to provide extra metadata for the web detection.", "type": "object" }, "GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult": { "properties": { "results": { "description": "List of results, one for each product match.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResultsResult" } }, "boundingPoly": { "description": "The bounding polygon around the product detected in the query image.", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "objectAnnotations": { "description": "List of generic predictions for the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation" } } }, "description": "Information about the products similar to a single product in a query image.", "type": "object", "id": "GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult" }, "GoogleCloudVisionV1p1beta1GcsDestination": { "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } }, "id": "GoogleCloudVisionV1p1beta1GcsDestination", "description": "The Google Cloud Storage location where the output will be written to.", "type": "object" }, "GoogleCloudVisionV1p1beta1AnnotateImageResponse": { "id": "GoogleCloudVisionV1p1beta1AnnotateImageResponse", "description": "Response to an image annotation request.", "type": "object", "properties": { "faceAnnotations": { "description": "If present, face detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1FaceAnnotation" } }, "textAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p1beta1EntityAnnotation" }, "description": "If present, text (OCR) detection has completed successfully.", "type": "array" }, "webDetection": { "$ref": "GoogleCloudVisionV1p1beta1WebDetection", "description": "If present, web detection has completed successfully." }, "fullTextAnnotation": { "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotation" }, "productSearchResults": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResults", "description": "If present, product search has completed successfully." }, "cropHintsAnnotation": { "$ref": "GoogleCloudVisionV1p1beta1CropHintsAnnotation", "description": "If present, crop hints have completed successfully." }, "logoAnnotations": { "description": "If present, logo detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1EntityAnnotation" } }, "error": { "$ref": "Status", "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set." }, "context": { "description": "If present, contextual information is needed to understand where this image comes from.", "$ref": "GoogleCloudVisionV1p1beta1ImageAnnotationContext" }, "localizedObjectAnnotations": { "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation" } }, "labelAnnotations": { "description": "If present, label detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1EntityAnnotation" } }, "landmarkAnnotations": { "description": "If present, landmark detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1EntityAnnotation" } }, "safeSearchAnnotation": { "description": "If present, safe-search annotation has completed successfully.", "$ref": "GoogleCloudVisionV1p1beta1SafeSearchAnnotation" }, "imagePropertiesAnnotation": { "$ref": "GoogleCloudVisionV1p1beta1ImageProperties", "description": "If present, image properties were extracted successfully." } } }, "CancelOperationRequest": { "description": "The request message for Operations.CancelOperation.", "type": "object", "id": "CancelOperationRequest", "properties": {} }, "GoogleCloudVisionV1p4beta1OutputConfig": { "description": "The desired output location and metadata.", "type": "object", "id": "GoogleCloudVisionV1p4beta1OutputConfig", "properties": { "gcsDestination": { "$ref": "GoogleCloudVisionV1p4beta1GcsDestination", "description": "The Google Cloud Storage location to write the output(s) to." }, "batchSize": { "format": "int32", "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.", "type": "integer" } } }, "GoogleCloudVisionV1p4beta1LocationInfo": { "id": "GoogleCloudVisionV1p4beta1LocationInfo", "description": "Detected entity location information.", "type": "object", "properties": { "latLng": { "description": "lat/long location coordinates.", "$ref": "LatLng" } } }, "GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult": { "id": "GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult", "description": "Information about the products similar to a single product in a query image.", "type": "object", "properties": { "boundingPoly": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The bounding polygon around the product detected in the query image." }, "objectAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation" }, "description": "List of generic predictions for the object in the bounding box.", "type": "array" }, "results": { "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResultsResult" }, "description": "List of results, one for each product match.", "type": "array" } } }, "ProductSet": { "properties": { "name": { "description": "The resource name of the ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`. This field is ignored when creating a ProductSet.", "type": "string" }, "displayName": { "description": "The user-provided name for this ProductSet. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "indexError": { "description": "Output only. If there was an error with indexing the product set, the field is populated. This field is ignored when creating a ProductSet.", "readOnly": true, "$ref": "Status" }, "indexTime": { "description": "Output only. The time at which this ProductSet was last indexed. Query results will reflect all updates before this time. If this ProductSet has never been indexed, this timestamp is the default value \"1970-01-01T00:00:00Z\". This field is ignored when creating a ProductSet.", "readOnly": true, "type": "string", "format": "google-datetime" } }, "id": "ProductSet", "description": "A ProductSet contains Products. A ProductSet can contain a maximum of 1 million reference images. If the limit is exceeded, periodic indexing will fail.", "type": "object" }, "GoogleCloudVisionV1p1beta1ColorInfo": { "properties": { "pixelFraction": { "format": "float", "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1].", "type": "number" }, "score": { "description": "Image-specific score for this color. Value in range [0, 1].", "type": "number", "format": "float" }, "color": { "description": "RGB components of the color.", "$ref": "Color" } }, "id": "GoogleCloudVisionV1p1beta1ColorInfo", "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "type": "object" }, "GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse": { "properties": { "outputConfig": { "$ref": "GoogleCloudVisionV1p2beta1OutputConfig", "description": "The output location and metadata from AsyncAnnotateFileRequest." } }, "description": "The response for a single offline file annotation request.", "type": "object", "id": "GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse" }, "GoogleCloudVisionV1p2beta1ImageProperties": { "id": "GoogleCloudVisionV1p2beta1ImageProperties", "description": "Stores image properties, such as dominant colors.", "type": "object", "properties": { "dominantColors": { "$ref": "GoogleCloudVisionV1p2beta1DominantColorsAnnotation", "description": "If present, dominant colors completed successfully." } } }, "WebEntity": { "properties": { "description": { "description": "Canonical description of the entity, in English.", "type": "string" }, "entityId": { "description": "Opaque entity ID.", "type": "string" }, "score": { "format": "float", "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "type": "number" } }, "id": "WebEntity", "description": "Entity deduced from similar images on the Internet.", "type": "object" }, "GoogleCloudVisionV1p4beta1ImageAnnotationContext": { "id": "GoogleCloudVisionV1p4beta1ImageAnnotationContext", "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "type": "object", "properties": { "uri": { "description": "The URI of the file used to produce the image.", "type": "string" }, "pageNumber": { "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.", "type": "integer", "format": "int32" } } }, "GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak": { "properties": { "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" }, "type": { "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ], "description": "Detected break type.", "type": "string", "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ] } }, "description": "Detected start or end of a structural component.", "type": "object", "id": "GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak" }, "GoogleCloudVisionV1p3beta1Symbol": { "properties": { "property": { "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty", "description": "Additional information detected for the symbol." }, "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" }, "boundingBox": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "description": "Confidence of the OCR results for the symbol. Range [0, 1].", "type": "number", "format": "float" } }, "id": "GoogleCloudVisionV1p3beta1Symbol", "description": "A single symbol representation.", "type": "object" }, "PurgeProductsRequest": { "description": "Request message for the `PurgeProducts` method.", "type": "object", "id": "PurgeProductsRequest", "properties": { "productSetPurgeConfig": { "$ref": "ProductSetPurgeConfig", "description": "Specify which ProductSet contains the Products to be deleted." }, "deleteOrphanProducts": { "description": "If delete_orphan_products is true, all Products that are not in any ProductSet will be deleted.", "type": "boolean" }, "force": { "description": "The default value is false. Override this value to true to actually perform the purge.", "type": "boolean" } } }, "GoogleCloudVisionV1p4beta1BoundingPoly": { "description": "A bounding polygon for the detected image annotation.", "type": "object", "id": "GoogleCloudVisionV1p4beta1BoundingPoly", "properties": { "vertices": { "items": { "$ref": "GoogleCloudVisionV1p4beta1Vertex" }, "description": "The bounding polygon vertices.", "type": "array" }, "normalizedVertices": { "items": { "$ref": "GoogleCloudVisionV1p4beta1NormalizedVertex" }, "description": "The bounding polygon normalized vertices.", "type": "array" } } }, "GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation": { "description": "Prediction for what the object in the bounding box is.", "type": "object", "id": "GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation", "properties": { "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "DetectedLanguage": { "description": "Detected language for a structural component.", "type": "object", "id": "DetectedLanguage", "properties": { "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "confidence": { "description": "Confidence of detected language. Range [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVisionV1p2beta1Page": { "properties": { "blocks": { "description": "List of blocks of text, images etc on this page.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1Block" } }, "property": { "description": "Additional information detected on the page.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty" }, "height": { "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer", "format": "int32" }, "width": { "format": "int32", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "confidence": { "description": "Confidence of the OCR results on the page. Range [0, 1].", "type": "number", "format": "float" } }, "id": "GoogleCloudVisionV1p2beta1Page", "description": "Detected page from OCR.", "type": "object" }, "GoogleCloudVisionV1p1beta1WebDetectionWebLabel": { "properties": { "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "label": { "description": "Label for extra metadata.", "type": "string" } }, "id": "GoogleCloudVisionV1p1beta1WebDetectionWebLabel", "description": "Label to provide extra metadata for the web detection.", "type": "object" }, "GoogleCloudVisionV1p3beta1OperationMetadata": { "properties": { "state": { "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ], "description": "Current state of the batch operation.", "type": "string", "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ] }, "createTime": { "description": "The time when the batch request was received.", "type": "string", "format": "google-datetime" }, "updateTime": { "description": "The time when the operation result was last updated.", "type": "string", "format": "google-datetime" } }, "id": "GoogleCloudVisionV1p3beta1OperationMetadata", "description": "Contains metadata for the BatchAnnotateImages operation.", "type": "object" }, "GoogleCloudVisionV1p3beta1ProductSearchResults": { "properties": { "indexTime": { "format": "google-datetime", "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "type": "string" }, "results": { "description": "List of results, one for each product match.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResultsResult" } }, "productGroupedResults": { "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult" } } }, "description": "Results for a product search request.", "type": "object", "id": "GoogleCloudVisionV1p3beta1ProductSearchResults" }, "GoogleCloudVisionV1p1beta1GcsSource": { "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } }, "id": "GoogleCloudVisionV1p1beta1GcsSource", "description": "The Google Cloud Storage location where the input will be read from.", "type": "object" }, "GoogleCloudVisionV1p3beta1Product": { "id": "GoogleCloudVisionV1p3beta1Product", "description": "A Product contains ReferenceImages.", "type": "object", "properties": { "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" }, "productLabels": { "items": { "$ref": "GoogleCloudVisionV1p3beta1ProductKeyValue" }, "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "type": "array" } } }, "OutputConfig": { "properties": { "gcsDestination": { "description": "The Google Cloud Storage location to write the output(s) to.", "$ref": "GcsDestination" }, "batchSize": { "format": "int32", "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.", "type": "integer" } }, "id": "OutputConfig", "description": "The desired output location and metadata.", "type": "object" }, "GoogleCloudVisionV1p3beta1ProductKeyValue": { "description": "A product label represented as a key-value pair.", "type": "object", "id": "GoogleCloudVisionV1p3beta1ProductKeyValue", "properties": { "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } } }, "GoogleCloudVisionV1p1beta1Block": { "properties": { "property": { "description": "Additional information detected for the block.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty" }, "blockType": { "description": "Detected block type (text, image etc) for this block.", "type": "string", "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ], "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ] }, "boundingBox": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "description": "Confidence of the OCR results on the block. Range [0, 1].", "type": "number", "format": "float" }, "paragraphs": { "description": "List of paragraphs in this block (if this blocks is of type text).", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1Paragraph" } } }, "description": "Logical element on the page.", "type": "object", "id": "GoogleCloudVisionV1p1beta1Block" }, "GoogleCloudVisionV1p3beta1FaceAnnotation": { "id": "GoogleCloudVisionV1p3beta1FaceAnnotation", "description": "A face annotation object contains the results of face detection.", "type": "object", "properties": { "rollAngle": { "format": "float", "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].", "type": "number" }, "tiltAngle": { "format": "float", "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].", "type": "number" }, "landmarks": { "items": { "$ref": "GoogleCloudVisionV1p3beta1FaceAnnotationLandmark" }, "description": "Detected face landmarks.", "type": "array" }, "detectionConfidence": { "description": "Detection confidence. Range [0, 1].", "type": "number", "format": "float" }, "panAngle": { "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].", "type": "number", "format": "float" }, "headwearLikelihood": { "description": "Headwear likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "boundingPoly": { "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated.", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "underExposedLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Under-exposed likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "blurredLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Blurred likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "sorrowLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Sorrow likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "angerLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Anger likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "surpriseLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Surprise likelihood.", "type": "string" }, "landmarkingConfidence": { "description": "Face landmarking confidence. Range [0, 1].", "type": "number", "format": "float" }, "joyLikelihood": { "description": "Joy likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "fdBoundingPoly": { "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix.", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" } } }, "GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse": { "description": "The response for a single offline file annotation request.", "type": "object", "id": "GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse", "properties": { "outputConfig": { "description": "The output location and metadata from AsyncAnnotateFileRequest.", "$ref": "GoogleCloudVisionV1p3beta1OutputConfig" } } }, "GoogleCloudVisionV1p1beta1WebDetectionWebEntity": { "id": "GoogleCloudVisionV1p1beta1WebDetectionWebEntity", "description": "Entity deduced from similar images on the Internet.", "type": "object", "properties": { "entityId": { "description": "Opaque entity ID.", "type": "string" }, "score": { "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "type": "number", "format": "float" }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" } } }, "AnnotateFileRequest": { "properties": { "features": { "items": { "$ref": "Feature" }, "description": "Required. Requested features.", "type": "array" }, "imageContext": { "description": "Additional context that may accompany the image(s) in the file.", "$ref": "ImageContext" }, "inputConfig": { "description": "Required. Information about the input file.", "$ref": "InputConfig" }, "pages": { "description": "Pages of the file to perform image annotation. Pages starts from 1, we assume the first page of the file is page 1. At most 5 pages are supported per request. Pages can be negative. Page 1 means the first page. Page 2 means the second page. Page -1 means the last page. Page -2 means the second to the last page. If the file is GIF instead of PDF or TIFF, page refers to GIF frames. If this field is empty, by default the service performs image annotation for the first 5 pages of the file.", "type": "array", "items": { "type": "integer", "format": "int32" } } }, "id": "AnnotateFileRequest", "description": "A request to annotate one single file, e.g. a PDF, TIFF or GIF file.", "type": "object" }, "GoogleCloudVisionV1p1beta1InputConfig": { "properties": { "content": { "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "type": "string", "format": "byte" }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" }, "gcsSource": { "$ref": "GoogleCloudVisionV1p1beta1GcsSource", "description": "The Google Cloud Storage location to read the input from." } }, "id": "GoogleCloudVisionV1p1beta1InputConfig", "description": "The desired input location and metadata.", "type": "object" }, "LocalizedObjectAnnotation": { "description": "Set of detected objects with bounding boxes.", "type": "object", "id": "LocalizedObjectAnnotation", "properties": { "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "description": "Score of the result. Range [0, 1].", "type": "number", "format": "float" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "boundingPoly": { "$ref": "BoundingPoly", "description": "Image region to which this object belongs. This must be populated." } } }, "AsyncBatchAnnotateFilesResponse": { "description": "Response to an async batch file annotation request.", "type": "object", "id": "AsyncBatchAnnotateFilesResponse", "properties": { "responses": { "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.", "type": "array", "items": { "$ref": "AsyncAnnotateFileResponse" } } } }, "GoogleCloudVisionV1p3beta1Property": { "properties": { "name": { "description": "Name of the property.", "type": "string" }, "value": { "description": "Value of the property.", "type": "string" }, "uint64Value": { "format": "uint64", "description": "Value of numeric properties.", "type": "string" } }, "description": "A `Property` consists of a user-supplied name/value pair.", "type": "object", "id": "GoogleCloudVisionV1p3beta1Property" }, "GoogleCloudVisionV1p3beta1Vertex": { "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "type": "object", "id": "GoogleCloudVisionV1p3beta1Vertex", "properties": { "x": { "description": "X coordinate.", "type": "integer", "format": "int32" }, "y": { "description": "Y coordinate.", "type": "integer", "format": "int32" } } }, "GoogleCloudVisionV1p4beta1FaceAnnotation": { "id": "GoogleCloudVisionV1p4beta1FaceAnnotation", "description": "A face annotation object contains the results of face detection.", "type": "object", "properties": { "surpriseLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Surprise likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "sorrowLikelihood": { "description": "Sorrow likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "angerLikelihood": { "description": "Anger likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "recognitionResult": { "items": { "$ref": "GoogleCloudVisionV1p4beta1FaceRecognitionResult" }, "description": "Additional recognition information. Only computed if image_context.face_recognition_params is provided, **and** a match is found to a Celebrity in the input CelebritySet. This field is sorted in order of decreasing confidence values.", "type": "array" }, "blurredLikelihood": { "description": "Blurred likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "fdBoundingPoly": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix." }, "joyLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Joy likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "landmarkingConfidence": { "format": "float", "description": "Face landmarking confidence. Range [0, 1].", "type": "number" }, "landmarks": { "items": { "$ref": "GoogleCloudVisionV1p4beta1FaceAnnotationLandmark" }, "description": "Detected face landmarks.", "type": "array" }, "detectionConfidence": { "format": "float", "description": "Detection confidence. Range [0, 1].", "type": "number" }, "tiltAngle": { "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].", "type": "number", "format": "float" }, "rollAngle": { "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].", "type": "number", "format": "float" }, "underExposedLikelihood": { "description": "Under-exposed likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "boundingPoly": { "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated.", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "panAngle": { "format": "float", "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].", "type": "number" }, "headwearLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Headwear likelihood.", "type": "string" } } }, "RemoveProductFromProductSetRequest": { "description": "Request message for the `RemoveProductFromProductSet` method.", "type": "object", "id": "RemoveProductFromProductSetRequest", "properties": { "product": { "description": "Required. The resource name for the Product to be removed from this ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`", "type": "string" } } }, "GoogleCloudVisionV1p1beta1FaceAnnotation": { "properties": { "landmarkingConfidence": { "description": "Face landmarking confidence. Range [0, 1].", "type": "number", "format": "float" }, "joyLikelihood": { "description": "Joy likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "fdBoundingPoly": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix." }, "blurredLikelihood": { "description": "Blurred likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "sorrowLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Sorrow likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "angerLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Anger likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "surpriseLikelihood": { "description": "Surprise likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "panAngle": { "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].", "type": "number", "format": "float" }, "headwearLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Headwear likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated." }, "underExposedLikelihood": { "description": "Under-exposed likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "rollAngle": { "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].", "type": "number", "format": "float" }, "tiltAngle": { "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].", "type": "number", "format": "float" }, "landmarks": { "description": "Detected face landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1FaceAnnotationLandmark" } }, "detectionConfidence": { "description": "Detection confidence. Range [0, 1].", "type": "number", "format": "float" } }, "description": "A face annotation object contains the results of face detection.", "type": "object", "id": "GoogleCloudVisionV1p1beta1FaceAnnotation" }, "GoogleCloudVisionV1p4beta1AnnotateFileResponse": { "id": "GoogleCloudVisionV1p4beta1AnnotateFileResponse", "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "type": "object", "properties": { "totalPages": { "description": "This field gives the total number of pages in the file.", "type": "integer", "format": "int32" }, "error": { "$ref": "Status", "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case." }, "responses": { "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1AnnotateImageResponse" } }, "inputConfig": { "description": "Information about the file for which this response is generated.", "$ref": "GoogleCloudVisionV1p4beta1InputConfig" } } }, "GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage": { "properties": { "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "confidence": { "format": "float", "description": "Confidence of detected language. Range [0, 1].", "type": "number" } }, "id": "GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage", "description": "Detected language for a structural component.", "type": "object" }, "BatchAnnotateFilesResponse": { "properties": { "responses": { "description": "The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest.", "type": "array", "items": { "$ref": "AnnotateFileResponse" } } }, "description": "A list of file annotation responses.", "type": "object", "id": "BatchAnnotateFilesResponse" }, "GoogleCloudVisionV1p2beta1CropHintsAnnotation": { "properties": { "cropHints": { "items": { "$ref": "GoogleCloudVisionV1p2beta1CropHint" }, "description": "Crop hint results.", "type": "array" } }, "id": "GoogleCloudVisionV1p2beta1CropHintsAnnotation", "description": "Set of crop hints that are used to generate new crops when serving images.", "type": "object" }, "GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation": { "description": "Set of detected objects with bounding boxes.", "type": "object", "id": "GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation", "properties": { "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "Image region to which this object belongs. This must be populated." }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" } } }, "BatchAnnotateImagesRequest": { "description": "Multiple image annotation requests are batched into a single service call.", "type": "object", "id": "BatchAnnotateImagesRequest", "properties": { "labels": { "additionalProperties": { "type": "string" }, "description": "Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.", "type": "object" }, "requests": { "description": "Required. Individual image annotation requests for this batch.", "type": "array", "items": { "$ref": "AnnotateImageRequest" } }, "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string" } } }, "ImportProductSetsRequest": { "description": "Request message for the `ImportProductSets` method.", "type": "object", "id": "ImportProductSetsRequest", "properties": { "inputConfig": { "$ref": "ImportProductSetsInputConfig", "description": "Required. The input content for the list of requests." } } }, "GoogleCloudVisionV1p4beta1Word": { "properties": { "boundingBox": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the word. Range [0, 1].", "type": "number" }, "symbols": { "items": { "$ref": "GoogleCloudVisionV1p4beta1Symbol" }, "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "type": "array" }, "property": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty", "description": "Additional information detected for the word." } }, "description": "A word representation.", "type": "object", "id": "GoogleCloudVisionV1p4beta1Word" }, "LatLongRect": { "description": "Rectangle determined by min and max `LatLng` pairs.", "type": "object", "id": "LatLongRect", "properties": { "minLatLng": { "description": "Min lat/long pair.", "$ref": "LatLng" }, "maxLatLng": { "$ref": "LatLng", "description": "Max lat/long pair." } } }, "GoogleCloudVisionV1p2beta1ProductKeyValue": { "properties": { "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } }, "description": "A product label represented as a key-value pair.", "type": "object", "id": "GoogleCloudVisionV1p2beta1ProductKeyValue" }, "OperationMetadata": { "properties": { "state": { "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ], "description": "Current state of the batch operation.", "type": "string", "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ] }, "createTime": { "description": "The time when the batch request was received.", "type": "string", "format": "google-datetime" }, "updateTime": { "format": "google-datetime", "description": "The time when the operation result was last updated.", "type": "string" } }, "description": "Contains metadata for the BatchAnnotateImages operation.", "type": "object", "id": "OperationMetadata" }, "CropHint": { "id": "CropHint", "description": "Single crop hint that is used to generate a new crop when serving an image.", "type": "object", "properties": { "boundingPoly": { "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale.", "$ref": "BoundingPoly" }, "confidence": { "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number", "format": "float" }, "importanceFraction": { "format": "float", "description": "Fraction of importance of this salient region with respect to the original image.", "type": "number" } } }, "GoogleCloudVisionV1p4beta1ColorInfo": { "properties": { "pixelFraction": { "format": "float", "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1].", "type": "number" }, "score": { "description": "Image-specific score for this color. Value in range [0, 1].", "type": "number", "format": "float" }, "color": { "$ref": "Color", "description": "RGB components of the color." } }, "id": "GoogleCloudVisionV1p4beta1ColorInfo", "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "type": "object" }, "GoogleCloudVisionV1p3beta1BatchOperationMetadata": { "id": "GoogleCloudVisionV1p3beta1BatchOperationMetadata", "description": "Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "properties": { "state": { "enum": [ "STATE_UNSPECIFIED", "PROCESSING", "SUCCESSFUL", "FAILED", "CANCELLED" ], "description": "The current state of the batch operation.", "type": "string", "enumDescriptions": [ "Invalid.", "Request is actively being processed.", "The request is done and at least one item has been successfully processed.", "The request is done and no item has been successfully processed.", "The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request." ] }, "endTime": { "format": "google-datetime", "description": "The time when the batch request is finished and google.longrunning.Operation.done is set to true.", "type": "string" }, "submitTime": { "description": "The time when the batch request was submitted to the server.", "type": "string", "format": "google-datetime" } } }, "BatchOperationMetadata": { "properties": { "state": { "enumDescriptions": [ "Invalid.", "Request is actively being processed.", "The request is done and at least one item has been successfully processed.", "The request is done and no item has been successfully processed.", "The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request." ], "enum": [ "STATE_UNSPECIFIED", "PROCESSING", "SUCCESSFUL", "FAILED", "CANCELLED" ], "description": "The current state of the batch operation.", "type": "string" }, "endTime": { "format": "google-datetime", "description": "The time when the batch request is finished and google.longrunning.Operation.done is set to true.", "type": "string" }, "submitTime": { "format": "google-datetime", "description": "The time when the batch request was submitted to the server.", "type": "string" } }, "description": "Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "id": "BatchOperationMetadata" }, "AsyncBatchAnnotateImagesRequest": { "properties": { "requests": { "items": { "$ref": "AnnotateImageRequest" }, "description": "Required. Individual image annotation requests for this batch.", "type": "array" }, "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string" }, "labels": { "description": "Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.", "type": "object", "additionalProperties": { "type": "string" } }, "outputConfig": { "description": "Required. The desired output location and metadata (e.g. format).", "$ref": "OutputConfig" } }, "description": "Request for async image annotation for a list of images.", "type": "object", "id": "AsyncBatchAnnotateImagesRequest" }, "Image": { "description": "Client image to perform Google Cloud Vision API tasks over.", "type": "object", "id": "Image", "properties": { "content": { "description": "Image content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateImages requests. It does not work for AsyncBatchAnnotateImages requests.", "type": "string", "format": "byte" }, "source": { "$ref": "ImageSource", "description": "Google Cloud Storage image location, or publicly-accessible image URL. If both `content` and `source` are provided for an image, `content` takes precedence and is used to perform the image annotation request." } } }, "WebDetectionParams": { "properties": { "includeGeoResults": { "description": "This field has no effect on results.", "type": "boolean", "deprecated": true } }, "id": "WebDetectionParams", "description": "Parameters for web detection request.", "type": "object" }, "ProductSearchResults": { "properties": { "productGroupedResults": { "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "type": "array", "items": { "$ref": "GroupedResult" } }, "indexTime": { "format": "google-datetime", "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "type": "string" }, "results": { "items": { "$ref": "Result" }, "description": "List of results, one for each product match.", "type": "array" } }, "id": "ProductSearchResults", "description": "Results for a product search request.", "type": "object" }, "AsyncAnnotateFileResponse": { "id": "AsyncAnnotateFileResponse", "description": "The response for a single offline file annotation request.", "type": "object", "properties": { "outputConfig": { "description": "The output location and metadata from AsyncAnnotateFileRequest.", "$ref": "OutputConfig" } } }, "GoogleCloudVisionV1p1beta1ProductSearchResults": { "id": "GoogleCloudVisionV1p1beta1ProductSearchResults", "description": "Results for a product search request.", "type": "object", "properties": { "productGroupedResults": { "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult" }, "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "type": "array" }, "indexTime": { "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "type": "string", "format": "google-datetime" }, "results": { "description": "List of results, one for each product match.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductSearchResultsResult" } } } }, "GoogleCloudVisionV1p2beta1Paragraph": { "properties": { "property": { "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty", "description": "Additional information detected for the paragraph." }, "words": { "items": { "$ref": "GoogleCloudVisionV1p2beta1Word" }, "description": "List of all words in this paragraph.", "type": "array" }, "boundingBox": { "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "confidence": { "description": "Confidence of the OCR results for the paragraph. Range [0, 1].", "type": "number", "format": "float" } }, "id": "GoogleCloudVisionV1p2beta1Paragraph", "description": "Structural unit of text representing a number of words in certain order.", "type": "object" }, "GoogleCloudVisionV1p1beta1Vertex": { "properties": { "x": { "description": "X coordinate.", "type": "integer", "format": "int32" }, "y": { "format": "int32", "description": "Y coordinate.", "type": "integer" } }, "id": "GoogleCloudVisionV1p1beta1Vertex", "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "type": "object" }, "GroupedResult": { "properties": { "results": { "items": { "$ref": "Result" }, "description": "List of results, one for each product match.", "type": "array" }, "boundingPoly": { "description": "The bounding polygon around the product detected in the query image.", "$ref": "BoundingPoly" }, "objectAnnotations": { "description": "List of generic predictions for the object in the bounding box.", "type": "array", "items": { "$ref": "ObjectAnnotation" } } }, "description": "Information about the products similar to a single product in a query image.", "type": "object", "id": "GroupedResult" }, "EntityAnnotation": { "description": "Set of detected entity features.", "type": "object", "id": "EntityAnnotation", "properties": { "topicality": { "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "type": "number", "format": "float" }, "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "properties": { "items": { "$ref": "Property" }, "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity.", "type": "array" }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "boundingPoly": { "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features.", "$ref": "BoundingPoly" }, "score": { "description": "Overall score of the result. Range [0, 1].", "type": "number", "format": "float" }, "confidence": { "deprecated": true, "format": "float", "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "type": "number" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" }, "locations": { "items": { "$ref": "LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.", "type": "array" } } }, "GoogleCloudVisionV1p1beta1TextAnnotation": { "properties": { "pages": { "items": { "$ref": "GoogleCloudVisionV1p1beta1Page" }, "description": "List of pages detected by OCR.", "type": "array" }, "text": { "description": "UTF-8 text detected on the pages.", "type": "string" } }, "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.", "type": "object", "id": "GoogleCloudVisionV1p1beta1TextAnnotation" }, "Vertex": { "properties": { "x": { "format": "int32", "description": "X coordinate.", "type": "integer" }, "y": { "format": "int32", "description": "Y coordinate.", "type": "integer" } }, "id": "Vertex", "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "type": "object" }, "GoogleCloudVisionV1p2beta1FaceAnnotationLandmark": { "properties": { "type": { "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ], "description": "Face landmark type.", "type": "string", "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ] }, "position": { "description": "Face landmark position.", "$ref": "GoogleCloudVisionV1p2beta1Position" } }, "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "type": "object", "id": "GoogleCloudVisionV1p2beta1FaceAnnotationLandmark" }, "GoogleCloudVisionV1p4beta1CropHintsAnnotation": { "properties": { "cropHints": { "items": { "$ref": "GoogleCloudVisionV1p4beta1CropHint" }, "description": "Crop hint results.", "type": "array" } }, "id": "GoogleCloudVisionV1p4beta1CropHintsAnnotation", "description": "Set of crop hints that are used to generate new crops when serving images.", "type": "object" }, "LatLng": { "properties": { "longitude": { "format": "double", "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", "type": "number" }, "latitude": { "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", "type": "number", "format": "double" } }, "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", "type": "object", "id": "LatLng" }, "GoogleCloudVisionV1p1beta1ProductSearchResultsResult": { "properties": { "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" }, "score": { "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "type": "number", "format": "float" }, "product": { "$ref": "GoogleCloudVisionV1p1beta1Product", "description": "The Product." } }, "description": "Information about a product.", "type": "object", "id": "GoogleCloudVisionV1p1beta1ProductSearchResultsResult" }, "GoogleCloudVisionV1p4beta1Product": { "properties": { "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "productLabels": { "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductKeyValue" } }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1Product", "description": "A Product contains ReferenceImages.", "type": "object" }, "GoogleCloudVisionV1p2beta1Product": { "id": "GoogleCloudVisionV1p2beta1Product", "description": "A Product contains ReferenceImages.", "type": "object", "properties": { "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "productLabels": { "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductKeyValue" } }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" } } }, "DetectedBreak": { "properties": { "type": { "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ], "description": "Detected break type.", "type": "string", "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ] }, "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" } }, "description": "Detected start or end of a structural component.", "type": "object", "id": "DetectedBreak" }, "Color": { "description": "Represents a color in the RGBA color space. This representation is designed for simplicity of conversion to and from color representations in various languages over compactness. For example, the fields of this representation can be trivially provided to the constructor of `java.awt.Color` in Java; it can also be trivially provided to UIColor's `+colorWithRed:green:blue:alpha` method in iOS; and, with just a little work, it can be easily formatted into a CSS `rgba()` string in JavaScript. This reference page doesn't have information about the absolute color space that should be used to interpret the RGB value—for example, sRGB, Adobe RGB, DCI-P3, and BT.2020. By default, applications should assume the sRGB color space. When color equality needs to be decided, implementations, unless documented otherwise, treat two colors as equal if all their red, green, blue, and alpha values each differ by at most `1e-5`. Example (Java): import com.google.type.Color; // ... public static java.awt.Color fromProto(Color protocolor) { float alpha = protocolor.hasAlpha() ? protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color( protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); } public static Color toProto(java.awt.Color color) { float red = (float) color.getRed(); float green = (float) color.getGreen(); float blue = (float) color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder = Color .newBuilder() .setRed(red / denominator) .setGreen(green / denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if (alpha != 255) { result.setAlpha( FloatValue .newBuilder() .setValue(((float) alpha) / denominator) .build()); } return resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float green = [protocolor green]; float blue = [protocolor blue]; FloatValue* alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper != nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color) { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc] init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue]; if (alpha \u003c= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; } [result autorelease]; return result; } // ... Example (JavaScript): // ... var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red || 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue || 0.0; var red = Math.floor(redFrac * 255); var green = Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if (!('alpha' in rgb_color)) { return rgbToCssColor(red, green, blue); } var alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green, blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join(''); }; var rgbToCssColor = function(red, green, blue) { var rgbNumber = new Number((red \u003c\u003c 16) | (green \u003c\u003c 8) | blue); var hexString = rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var resultBuilder = ['#']; for (var i = 0; i \u003c missingZeros; i++) { resultBuilder.push('0'); } resultBuilder.push(hexString); return resultBuilder.join(''); }; // ...", "type": "object", "id": "Color", "properties": { "blue": { "description": "The amount of blue in the color as a value in the interval [0, 1].", "type": "number", "format": "float" }, "red": { "format": "float", "description": "The amount of red in the color as a value in the interval [0, 1].", "type": "number" }, "green": { "format": "float", "description": "The amount of green in the color as a value in the interval [0, 1].", "type": "number" }, "alpha": { "format": "float", "description": "The fraction of this color that should be applied to the pixel. That is, the final pixel color is defined by the equation: `pixel color = alpha * (this color) + (1.0 - alpha) * (background color)` This means that a value of 1.0 corresponds to a solid color, whereas a value of 0.0 corresponds to a completely transparent color. This uses a wrapper message rather than a simple float scalar so that it is possible to distinguish between a default value and the value being unset. If omitted, this color object is rendered as a solid color (as if the alpha value had been explicitly given a value of 1.0).", "type": "number" } } }, "GoogleCloudVisionV1p4beta1Block": { "properties": { "property": { "description": "Additional information detected for the block.", "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty" }, "blockType": { "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ], "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ], "description": "Detected block type (text, image etc) for this block.", "type": "string" }, "paragraphs": { "description": "List of paragraphs in this block (if this blocks is of type text).", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1Paragraph" } }, "boundingBox": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "description": "Confidence of the OCR results on the block. Range [0, 1].", "type": "number", "format": "float" } }, "id": "GoogleCloudVisionV1p4beta1Block", "description": "Logical element on the page.", "type": "object" }, "GoogleCloudVisionV1p3beta1Block": { "properties": { "boundingBox": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "format": "float", "description": "Confidence of the OCR results on the block. Range [0, 1].", "type": "number" }, "paragraphs": { "description": "List of paragraphs in this block (if this blocks is of type text).", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1Paragraph" } }, "property": { "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty", "description": "Additional information detected for the block." }, "blockType": { "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ], "description": "Detected block type (text, image etc) for this block.", "type": "string", "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ] } }, "id": "GoogleCloudVisionV1p3beta1Block", "description": "Logical element on the page.", "type": "object" }, "GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse": { "properties": { "responses": { "items": { "$ref": "GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse" }, "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.", "type": "array" } }, "id": "GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse", "description": "Response to an async batch file annotation request.", "type": "object" }, "GoogleCloudVisionV1p1beta1FaceAnnotationLandmark": { "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "type": "object", "id": "GoogleCloudVisionV1p1beta1FaceAnnotationLandmark", "properties": { "position": { "$ref": "GoogleCloudVisionV1p1beta1Position", "description": "Face landmark position." }, "type": { "description": "Face landmark type.", "type": "string", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ], "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ] } } }, "GoogleCloudVisionV1p2beta1WebDetectionWebImage": { "description": "Metadata for online images.", "type": "object", "id": "GoogleCloudVisionV1p2beta1WebDetectionWebImage", "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "format": "float", "description": "(Deprecated) Overall relevancy score for the image.", "type": "number" } } }, "GoogleCloudVisionV1p4beta1FaceRecognitionResult": { "properties": { "celebrity": { "$ref": "GoogleCloudVisionV1p4beta1Celebrity", "description": "The Celebrity that this face was matched to." }, "confidence": { "description": "Recognition confidence. Range [0, 1].", "type": "number", "format": "float" } }, "description": "Information about a face's identity.", "type": "object", "id": "GoogleCloudVisionV1p4beta1FaceRecognitionResult" }, "Feature": { "id": "Feature", "description": "The type of Google Cloud Vision API detection to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list.", "type": "object", "properties": { "type": { "enumDescriptions": [ "Unspecified feature type.", "Run face detection.", "Run landmark detection.", "Run logo detection.", "Run label detection.", "Run text detection / optical character recognition (OCR). Text detection is optimized for areas of text within a larger image; if the image is a document, use `DOCUMENT_TEXT_DETECTION` instead.", "Run dense text document OCR. Takes precedence when both `DOCUMENT_TEXT_DETECTION` and `TEXT_DETECTION` are present.", "Run Safe Search to detect potentially unsafe or undesirable content.", "Compute a set of image properties, such as the image's dominant colors.", "Run crop hints.", "Run web detection.", "Run Product Search.", "Run localizer for object detection." ], "enum": [ "TYPE_UNSPECIFIED", "FACE_DETECTION", "LANDMARK_DETECTION", "LOGO_DETECTION", "LABEL_DETECTION", "TEXT_DETECTION", "DOCUMENT_TEXT_DETECTION", "SAFE_SEARCH_DETECTION", "IMAGE_PROPERTIES", "CROP_HINTS", "WEB_DETECTION", "PRODUCT_SEARCH", "OBJECT_LOCALIZATION" ], "description": "The feature type.", "type": "string" }, "model": { "description": "Model to use for the feature. Supported values: \"builtin/stable\" (the default if unset) and \"builtin/latest\". `DOCUMENT_TEXT_DETECTION` and `TEXT_DETECTION` also support \"builtin/rc\" for the latest release candidate.", "type": "string" }, "maxResults": { "format": "int32", "description": "Maximum number of results of this type. Does not apply to `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.", "type": "integer" } } }, "AnnotateImageResponse": { "properties": { "cropHintsAnnotation": { "$ref": "CropHintsAnnotation", "description": "If present, crop hints have completed successfully." }, "productSearchResults": { "$ref": "ProductSearchResults", "description": "If present, product search has completed successfully." }, "logoAnnotations": { "description": "If present, logo detection has completed successfully.", "type": "array", "items": { "$ref": "EntityAnnotation" } }, "fullTextAnnotation": { "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text.", "$ref": "TextAnnotation" }, "faceAnnotations": { "description": "If present, face detection has completed successfully.", "type": "array", "items": { "$ref": "FaceAnnotation" } }, "textAnnotations": { "description": "If present, text (OCR) detection has completed successfully.", "type": "array", "items": { "$ref": "EntityAnnotation" } }, "webDetection": { "description": "If present, web detection has completed successfully.", "$ref": "WebDetection" }, "labelAnnotations": { "items": { "$ref": "EntityAnnotation" }, "description": "If present, label detection has completed successfully.", "type": "array" }, "landmarkAnnotations": { "items": { "$ref": "EntityAnnotation" }, "description": "If present, landmark detection has completed successfully.", "type": "array" }, "safeSearchAnnotation": { "$ref": "SafeSearchAnnotation", "description": "If present, safe-search annotation has completed successfully." }, "imagePropertiesAnnotation": { "description": "If present, image properties were extracted successfully.", "$ref": "ImageProperties" }, "localizedObjectAnnotations": { "items": { "$ref": "LocalizedObjectAnnotation" }, "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score.", "type": "array" }, "error": { "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set.", "$ref": "Status" }, "context": { "description": "If present, contextual information is needed to understand where this image comes from.", "$ref": "ImageAnnotationContext" } }, "description": "Response to an image annotation request.", "type": "object", "id": "AnnotateImageResponse" }, "GoogleCloudVisionV1p3beta1ColorInfo": { "id": "GoogleCloudVisionV1p3beta1ColorInfo", "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "type": "object", "properties": { "color": { "description": "RGB components of the color.", "$ref": "Color" }, "pixelFraction": { "format": "float", "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1].", "type": "number" }, "score": { "description": "Image-specific score for this color. Value in range [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVisionV1p3beta1CropHint": { "id": "GoogleCloudVisionV1p3beta1CropHint", "description": "Single crop hint that is used to generate a new crop when serving an image.", "type": "object", "properties": { "boundingPoly": { "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale.", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "confidence": { "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number", "format": "float" }, "importanceFraction": { "format": "float", "description": "Fraction of importance of this salient region with respect to the original image.", "type": "number" } } }, "GoogleCloudVisionV1p2beta1AnnotateImageResponse": { "properties": { "error": { "$ref": "Status", "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set." }, "context": { "description": "If present, contextual information is needed to understand where this image comes from.", "$ref": "GoogleCloudVisionV1p2beta1ImageAnnotationContext" }, "localizedObjectAnnotations": { "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation" } }, "labelAnnotations": { "description": "If present, label detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1EntityAnnotation" } }, "landmarkAnnotations": { "description": "If present, landmark detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1EntityAnnotation" } }, "safeSearchAnnotation": { "$ref": "GoogleCloudVisionV1p2beta1SafeSearchAnnotation", "description": "If present, safe-search annotation has completed successfully." }, "imagePropertiesAnnotation": { "$ref": "GoogleCloudVisionV1p2beta1ImageProperties", "description": "If present, image properties were extracted successfully." }, "faceAnnotations": { "description": "If present, face detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1FaceAnnotation" } }, "textAnnotations": { "description": "If present, text (OCR) detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1EntityAnnotation" } }, "webDetection": { "$ref": "GoogleCloudVisionV1p2beta1WebDetection", "description": "If present, web detection has completed successfully." }, "fullTextAnnotation": { "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotation" }, "productSearchResults": { "description": "If present, product search has completed successfully.", "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResults" }, "cropHintsAnnotation": { "description": "If present, crop hints have completed successfully.", "$ref": "GoogleCloudVisionV1p2beta1CropHintsAnnotation" }, "logoAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p2beta1EntityAnnotation" }, "description": "If present, logo detection has completed successfully.", "type": "array" } }, "description": "Response to an image annotation request.", "type": "object", "id": "GoogleCloudVisionV1p2beta1AnnotateImageResponse" }, "GoogleCloudVisionV1p3beta1FaceAnnotationLandmark": { "properties": { "position": { "description": "Face landmark position.", "$ref": "GoogleCloudVisionV1p3beta1Position" }, "type": { "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ], "description": "Face landmark type.", "type": "string", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ] } }, "id": "GoogleCloudVisionV1p3beta1FaceAnnotationLandmark", "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "type": "object" }, "GoogleCloudVisionV1p4beta1GcsSource": { "id": "GoogleCloudVisionV1p4beta1GcsSource", "description": "The Google Cloud Storage location where the input will be read from.", "type": "object", "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak": { "id": "GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak", "description": "Detected start or end of a structural component.", "type": "object", "properties": { "type": { "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ], "description": "Detected break type.", "type": "string", "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ] }, "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" } } }, "FaceAnnotation": { "properties": { "landmarks": { "description": "Detected face landmarks.", "type": "array", "items": { "$ref": "Landmark" } }, "detectionConfidence": { "description": "Detection confidence. Range [0, 1].", "type": "number", "format": "float" }, "rollAngle": { "format": "float", "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].", "type": "number" }, "tiltAngle": { "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].", "type": "number", "format": "float" }, "boundingPoly": { "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated.", "$ref": "BoundingPoly" }, "underExposedLikelihood": { "description": "Under-exposed likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "panAngle": { "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].", "type": "number", "format": "float" }, "headwearLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Headwear likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "sorrowLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Sorrow likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "angerLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Anger likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "surpriseLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Surprise likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "blurredLikelihood": { "description": "Blurred likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "fdBoundingPoly": { "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix.", "$ref": "BoundingPoly" }, "landmarkingConfidence": { "description": "Face landmarking confidence. Range [0, 1].", "type": "number", "format": "float" }, "joyLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Joy likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] } }, "description": "A face annotation object contains the results of face detection.", "type": "object", "id": "FaceAnnotation" }, "ImportProductSetsResponse": { "properties": { "referenceImages": { "description": "The list of reference_images that are imported successfully.", "type": "array", "items": { "$ref": "ReferenceImage" } }, "statuses": { "items": { "$ref": "Status" }, "description": "The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0.", "type": "array" } }, "description": "Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field.", "type": "object", "id": "ImportProductSetsResponse" }, "GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation": { "properties": { "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" } }, "id": "GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation", "description": "Prediction for what the object in the bounding box is.", "type": "object" }, "GoogleCloudVisionV1p3beta1WebDetectionWebLabel": { "description": "Label to provide extra metadata for the web detection.", "type": "object", "id": "GoogleCloudVisionV1p3beta1WebDetectionWebLabel", "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "GoogleCloudVisionV1p4beta1OperationMetadata": { "id": "GoogleCloudVisionV1p4beta1OperationMetadata", "description": "Contains metadata for the BatchAnnotateImages operation.", "type": "object", "properties": { "state": { "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ], "description": "Current state of the batch operation.", "type": "string", "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ] }, "createTime": { "format": "google-datetime", "description": "The time when the batch request was received.", "type": "string" }, "updateTime": { "description": "The time when the operation result was last updated.", "type": "string", "format": "google-datetime" } } }, "GoogleCloudVisionV1p1beta1NormalizedVertex": { "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object", "id": "GoogleCloudVisionV1p1beta1NormalizedVertex", "properties": { "x": { "format": "float", "description": "X coordinate.", "type": "number" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } } }, "Block": { "id": "Block", "description": "Logical element on the page.", "type": "object", "properties": { "paragraphs": { "items": { "$ref": "Paragraph" }, "description": "List of paragraphs in this block (if this blocks is of type text).", "type": "array" }, "boundingBox": { "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of the OCR results on the block. Range [0, 1].", "type": "number" }, "property": { "$ref": "TextProperty", "description": "Additional information detected for the block." }, "blockType": { "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ], "description": "Detected block type (text, image etc) for this block.", "type": "string", "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ] } } }, "GoogleCloudVisionV1p4beta1CropHint": { "properties": { "boundingPoly": { "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale.", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number" }, "importanceFraction": { "format": "float", "description": "Fraction of importance of this salient region with respect to the original image.", "type": "number" } }, "id": "GoogleCloudVisionV1p4beta1CropHint", "description": "Single crop hint that is used to generate a new crop when serving an image.", "type": "object" }, "GoogleCloudVisionV1p4beta1WebDetectionWebEntity": { "description": "Entity deduced from similar images on the Internet.", "type": "object", "id": "GoogleCloudVisionV1p4beta1WebDetectionWebEntity", "properties": { "score": { "format": "float", "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "type": "number" }, "entityId": { "description": "Opaque entity ID.", "type": "string" }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1TextAnnotation": { "id": "GoogleCloudVisionV1p2beta1TextAnnotation", "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.", "type": "object", "properties": { "pages": { "description": "List of pages detected by OCR.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1Page" } }, "text": { "description": "UTF-8 text detected on the pages.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty": { "description": "Additional information detected on the structural component.", "type": "object", "id": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty", "properties": { "detectedLanguages": { "items": { "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage" }, "description": "A list of detected languages together with confidence.", "type": "array" }, "detectedBreak": { "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak", "description": "Detected start or end of a text segment." } } }, "AsyncBatchAnnotateImagesResponse": { "properties": { "outputConfig": { "$ref": "OutputConfig", "description": "The output location and metadata from AsyncBatchAnnotateImagesRequest." } }, "description": "Response to an async batch image annotation request.", "type": "object", "id": "AsyncBatchAnnotateImagesResponse" }, "GoogleCloudVisionV1p4beta1Property": { "properties": { "uint64Value": { "description": "Value of numeric properties.", "type": "string", "format": "uint64" }, "name": { "description": "Name of the property.", "type": "string" }, "value": { "description": "Value of the property.", "type": "string" } }, "description": "A `Property` consists of a user-supplied name/value pair.", "type": "object", "id": "GoogleCloudVisionV1p4beta1Property" }, "GoogleCloudVisionV1p1beta1Word": { "description": "A word representation.", "type": "object", "id": "GoogleCloudVisionV1p1beta1Word", "properties": { "symbols": { "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1Symbol" } }, "boundingBox": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the word. Range [0, 1].", "type": "number" }, "property": { "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty", "description": "Additional information detected for the word." } } }, "Word": { "id": "Word", "description": "A word representation.", "type": "object", "properties": { "symbols": { "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "type": "array", "items": { "$ref": "Symbol" } }, "boundingBox": { "$ref": "BoundingPoly", "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "description": "Confidence of the OCR results for the word. Range [0, 1].", "type": "number", "format": "float" }, "property": { "$ref": "TextProperty", "description": "Additional information detected for the word." } } }, "GoogleCloudVisionV1p1beta1SafeSearchAnnotation": { "properties": { "medical": { "description": "Likelihood that this is a medical image.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "adult": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "racy": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "type": "string" }, "spoof": { "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "violence": { "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] } }, "id": "GoogleCloudVisionV1p1beta1SafeSearchAnnotation", "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "type": "object" }, "GoogleCloudVisionV1p4beta1ProductSearchResults": { "description": "Results for a product search request.", "type": "object", "id": "GoogleCloudVisionV1p4beta1ProductSearchResults", "properties": { "indexTime": { "description": "Timestamp of the index which provided these results. Products added to the product set and products removed from the product set after this time are not reflected in the current results.", "type": "string", "format": "google-datetime" }, "results": { "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResultsResult" }, "description": "List of results, one for each product match.", "type": "array" }, "productGroupedResults": { "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult" }, "description": "List of results grouped by products detected in the query image. Each entry corresponds to one bounding polygon in the query image, and contains the matching products specific to that region. There may be duplicate product matches in the union of all the per-product results.", "type": "array" } } }, "GoogleCloudVisionV1p3beta1ReferenceImage": { "description": "A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes.", "type": "object", "id": "GoogleCloudVisionV1p3beta1ReferenceImage", "properties": { "boundingPolys": { "items": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "description": "Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).", "type": "array" }, "name": { "description": "The resource name of the reference image. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image.", "type": "string" }, "uri": { "description": "Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1Property": { "properties": { "value": { "description": "Value of the property.", "type": "string" }, "name": { "description": "Name of the property.", "type": "string" }, "uint64Value": { "description": "Value of numeric properties.", "type": "string", "format": "uint64" } }, "id": "GoogleCloudVisionV1p2beta1Property", "description": "A `Property` consists of a user-supplied name/value pair.", "type": "object" }, "GoogleCloudVisionV1p3beta1Word": { "description": "A word representation.", "type": "object", "id": "GoogleCloudVisionV1p3beta1Word", "properties": { "property": { "description": "Additional information detected for the word.", "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty" }, "boundingBox": { "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "confidence": { "description": "Confidence of the OCR results for the word. Range [0, 1].", "type": "number", "format": "float" }, "symbols": { "items": { "$ref": "GoogleCloudVisionV1p3beta1Symbol" }, "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "type": "array" } } }, "GoogleCloudVisionV1p1beta1Paragraph": { "properties": { "boundingBox": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "description": "Confidence of the OCR results for the paragraph. Range [0, 1].", "type": "number", "format": "float" }, "property": { "description": "Additional information detected for the paragraph.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty" }, "words": { "items": { "$ref": "GoogleCloudVisionV1p1beta1Word" }, "description": "List of all words in this paragraph.", "type": "array" } }, "id": "GoogleCloudVisionV1p1beta1Paragraph", "description": "Structural unit of text representing a number of words in certain order.", "type": "object" }, "GoogleCloudVisionV1p4beta1Vertex": { "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "type": "object", "id": "GoogleCloudVisionV1p4beta1Vertex", "properties": { "x": { "description": "X coordinate.", "type": "integer", "format": "int32" }, "y": { "format": "int32", "description": "Y coordinate.", "type": "integer" } } }, "GoogleCloudVisionV1p2beta1NormalizedVertex": { "id": "GoogleCloudVisionV1p2beta1NormalizedVertex", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object", "properties": { "x": { "format": "float", "description": "X coordinate.", "type": "number" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } } }, "AsyncBatchAnnotateFilesRequest": { "id": "AsyncBatchAnnotateFilesRequest", "description": "Multiple async file annotation requests are batched into a single service call.", "type": "object", "properties": { "labels": { "additionalProperties": { "type": "string" }, "description": "Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.", "type": "object" }, "requests": { "items": { "$ref": "AsyncAnnotateFileRequest" }, "description": "Required. Individual async file annotation requests for this batch.", "type": "array" }, "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1ColorInfo": { "properties": { "score": { "description": "Image-specific score for this color. Value in range [0, 1].", "type": "number", "format": "float" }, "pixelFraction": { "description": "The fraction of pixels the color occupies in the image. Value in range [0, 1].", "type": "number", "format": "float" }, "color": { "description": "RGB components of the color.", "$ref": "Color" } }, "description": "Color information consists of RGB channels, score, and the fraction of the image that the color occupies in the image.", "type": "object", "id": "GoogleCloudVisionV1p2beta1ColorInfo" }, "GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak": { "properties": { "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" }, "type": { "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ], "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ], "description": "Detected break type.", "type": "string" } }, "description": "Detected start or end of a structural component.", "type": "object", "id": "GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak" }, "GoogleCloudVisionV1p1beta1AnnotateFileResponse": { "properties": { "responses": { "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1AnnotateImageResponse" } }, "inputConfig": { "description": "Information about the file for which this response is generated.", "$ref": "GoogleCloudVisionV1p1beta1InputConfig" }, "totalPages": { "format": "int32", "description": "This field gives the total number of pages in the file.", "type": "integer" }, "error": { "$ref": "Status", "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case." } }, "id": "GoogleCloudVisionV1p1beta1AnnotateFileResponse", "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "type": "object" }, "GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation": { "properties": { "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly", "description": "Image region to which this object belongs. This must be populated." } }, "id": "GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation", "description": "Set of detected objects with bounding boxes.", "type": "object" }, "Symbol": { "id": "Symbol", "description": "A single symbol representation.", "type": "object", "properties": { "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" }, "boundingBox": { "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the symbol. Range [0, 1].", "type": "number" }, "property": { "description": "Additional information detected for the symbol.", "$ref": "TextProperty" } } }, "ListReferenceImagesResponse": { "id": "ListReferenceImagesResponse", "description": "Response message for the `ListReferenceImages` method.", "type": "object", "properties": { "pageSize": { "format": "int32", "description": "The maximum number of items to return. Default 10, maximum 100.", "type": "integer" }, "referenceImages": { "items": { "$ref": "ReferenceImage" }, "description": "The list of reference images.", "type": "array" }, "nextPageToken": { "description": "The next_page_token returned from a previous List request, if any.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1Block": { "properties": { "boundingBox": { "description": "The bounding box for the block. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of the OCR results on the block. Range [0, 1].", "type": "number" }, "paragraphs": { "items": { "$ref": "GoogleCloudVisionV1p2beta1Paragraph" }, "description": "List of paragraphs in this block (if this blocks is of type text).", "type": "array" }, "property": { "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty", "description": "Additional information detected for the block." }, "blockType": { "description": "Detected block type (text, image etc) for this block.", "type": "string", "enum": [ "UNKNOWN", "TEXT", "TABLE", "PICTURE", "RULER", "BARCODE" ], "enumDescriptions": [ "Unknown block type.", "Regular text block.", "Table block.", "Image block.", "Horizontal/vertical line box.", "Barcode block." ] } }, "id": "GoogleCloudVisionV1p2beta1Block", "description": "Logical element on the page.", "type": "object" }, "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty": { "properties": { "detectedLanguages": { "description": "A list of detected languages together with confidence.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage" } }, "detectedBreak": { "description": "Detected start or end of a text segment.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak" } }, "description": "Additional information detected on the structural component.", "type": "object", "id": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty" }, "GoogleCloudVisionV1p1beta1Product": { "properties": { "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" }, "productLabels": { "items": { "$ref": "GoogleCloudVisionV1p1beta1ProductKeyValue" }, "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "type": "array" }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" } }, "id": "GoogleCloudVisionV1p1beta1Product", "description": "A Product contains ReferenceImages.", "type": "object" }, "GoogleCloudVisionV1p4beta1GcsDestination": { "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1GcsDestination", "description": "The Google Cloud Storage location where the output will be written to.", "type": "object" }, "GoogleCloudVisionV1p3beta1SafeSearchAnnotation": { "properties": { "spoof": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "violence": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "medical": { "description": "Likelihood that this is a medical image.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "adult": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "racy": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "type": "string" } }, "id": "GoogleCloudVisionV1p3beta1SafeSearchAnnotation", "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "type": "object" }, "InputConfig": { "properties": { "gcsSource": { "$ref": "GcsSource", "description": "The Google Cloud Storage location to read the input from." }, "content": { "format": "byte", "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "type": "string" }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" } }, "description": "The desired input location and metadata.", "type": "object", "id": "InputConfig" }, "GoogleCloudVisionV1p2beta1AnnotateFileResponse": { "properties": { "totalPages": { "description": "This field gives the total number of pages in the file.", "type": "integer", "format": "int32" }, "error": { "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case.", "$ref": "Status" }, "responses": { "items": { "$ref": "GoogleCloudVisionV1p2beta1AnnotateImageResponse" }, "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set.", "type": "array" }, "inputConfig": { "description": "Information about the file for which this response is generated.", "$ref": "GoogleCloudVisionV1p2beta1InputConfig" } }, "id": "GoogleCloudVisionV1p2beta1AnnotateFileResponse", "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "type": "object" }, "GoogleCloudVisionV1p2beta1EntityAnnotation": { "properties": { "topicality": { "format": "float", "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "type": "number" }, "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "boundingPoly": { "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features.", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "properties": { "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1Property" } }, "score": { "format": "float", "description": "Overall score of the result. Range [0, 1].", "type": "number" }, "confidence": { "deprecated": true, "format": "float", "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "type": "number" }, "locations": { "items": { "$ref": "GoogleCloudVisionV1p2beta1LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.", "type": "array" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" } }, "id": "GoogleCloudVisionV1p2beta1EntityAnnotation", "description": "Set of detected entity features.", "type": "object" }, "GoogleCloudVisionV1p2beta1Word": { "id": "GoogleCloudVisionV1p2beta1Word", "description": "A word representation.", "type": "object", "properties": { "property": { "description": "Additional information detected for the word.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty" }, "symbols": { "items": { "$ref": "GoogleCloudVisionV1p2beta1Symbol" }, "description": "List of symbols in the word. The order of the symbols follows the natural reading order.", "type": "array" }, "boundingBox": { "description": "The bounding box for the word. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the word. Range [0, 1].", "type": "number" } } }, "GoogleCloudVisionV1p1beta1EntityAnnotation": { "id": "GoogleCloudVisionV1p1beta1EntityAnnotation", "description": "Set of detected entity features.", "type": "object", "properties": { "topicality": { "format": "float", "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "type": "number" }, "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features." }, "properties": { "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1Property" } }, "score": { "description": "Overall score of the result. Range [0, 1].", "type": "number", "format": "float" }, "confidence": { "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "type": "number", "deprecated": true, "format": "float" }, "locations": { "items": { "$ref": "GoogleCloudVisionV1p1beta1LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.", "type": "array" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult": { "description": "Information about the products similar to a single product in a query image.", "type": "object", "id": "GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult", "properties": { "objectAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation" }, "description": "List of generic predictions for the object in the bounding box.", "type": "array" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly", "description": "The bounding polygon around the product detected in the query image." }, "results": { "description": "List of results, one for each product match.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1ProductSearchResultsResult" } } } }, "GoogleCloudVisionV1p3beta1BoundingPoly": { "description": "A bounding polygon for the detected image annotation.", "type": "object", "id": "GoogleCloudVisionV1p3beta1BoundingPoly", "properties": { "vertices": { "items": { "$ref": "GoogleCloudVisionV1p3beta1Vertex" }, "description": "The bounding polygon vertices.", "type": "array" }, "normalizedVertices": { "description": "The bounding polygon normalized vertices.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1NormalizedVertex" } } } }, "ProductSearchParams": { "properties": { "productCategories": { "items": { "type": "string" }, "description": "The list of product categories to search in. Currently, we only consider the first category, and either \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\", or \"general-v1\" should be specified. The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported but will be deprecated. For new products, please use \"homegoods-v2\", \"apparel-v2\", or \"toys-v2\" for better product search accuracy. It is recommended to migrate existing products to these categories as well.", "type": "array" }, "boundingPoly": { "description": "The bounding polygon around the area of interest in the image. If it is not specified, system discretion will be applied.", "$ref": "BoundingPoly" }, "productSet": { "description": "The resource name of a ProductSet to be searched for similar images. Format is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.", "type": "string" }, "filter": { "description": "The filtering expression. This can be used to restrict search results based on Product labels. We currently support an AND of OR of key-value expressions, where each expression within an OR must have the same key. An '=' should be used to connect the key and value. For example, \"(color = red OR color = blue) AND brand = Google\" is acceptable, but \"(color = red OR brand = Google)\" is not acceptable. \"color: red\" is not acceptable because it uses a ':' instead of an '='.", "type": "string" } }, "description": "Parameters for a product search request.", "type": "object", "id": "ProductSearchParams" }, "GoogleCloudVisionV1p1beta1BoundingPoly": { "description": "A bounding polygon for the detected image annotation.", "type": "object", "id": "GoogleCloudVisionV1p1beta1BoundingPoly", "properties": { "vertices": { "description": "The bounding polygon vertices.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1Vertex" } }, "normalizedVertices": { "description": "The bounding polygon normalized vertices.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1NormalizedVertex" } } } }, "GoogleCloudVisionV1p2beta1WebDetectionWebEntity": { "description": "Entity deduced from similar images on the Internet.", "type": "object", "id": "GoogleCloudVisionV1p2beta1WebDetectionWebEntity", "properties": { "score": { "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "type": "number", "format": "float" }, "entityId": { "description": "Opaque entity ID.", "type": "string" }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1GcsSource": { "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } }, "id": "GoogleCloudVisionV1p3beta1GcsSource", "description": "The Google Cloud Storage location where the input will be read from.", "type": "object" }, "GoogleCloudVisionV1p1beta1OperationMetadata": { "properties": { "updateTime": { "description": "The time when the operation result was last updated.", "type": "string", "format": "google-datetime" }, "state": { "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ], "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ], "description": "Current state of the batch operation.", "type": "string" }, "createTime": { "format": "google-datetime", "description": "The time when the batch request was received.", "type": "string" } }, "id": "GoogleCloudVisionV1p1beta1OperationMetadata", "description": "Contains metadata for the BatchAnnotateImages operation.", "type": "object" }, "GoogleCloudVisionV1p4beta1BatchOperationMetadata": { "id": "GoogleCloudVisionV1p4beta1BatchOperationMetadata", "description": "Metadata for the batch operations such as the current state. This is included in the `metadata` field of the `Operation` returned by the `GetOperation` call of the `google::longrunning::Operations` service.", "type": "object", "properties": { "state": { "enum": [ "STATE_UNSPECIFIED", "PROCESSING", "SUCCESSFUL", "FAILED", "CANCELLED" ], "description": "The current state of the batch operation.", "type": "string", "enumDescriptions": [ "Invalid.", "Request is actively being processed.", "The request is done and at least one item has been successfully processed.", "The request is done and no item has been successfully processed.", "The request is done after the longrunning.Operations.CancelOperation has been called by the user. Any records that were processed before the cancel command are output as specified in the request." ] }, "endTime": { "format": "google-datetime", "description": "The time when the batch request is finished and google.longrunning.Operation.done is set to true.", "type": "string" }, "submitTime": { "format": "google-datetime", "description": "The time when the batch request was submitted to the server.", "type": "string" } } }, "ListOperationsResponse": { "description": "The response message for Operations.ListOperations.", "type": "object", "id": "ListOperationsResponse", "properties": { "nextPageToken": { "description": "The standard List next-page token.", "type": "string" }, "unreachable": { "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", "type": "array", "items": { "type": "string" } }, "operations": { "description": "A list of operations that matches the specified filter in the request.", "type": "array", "items": { "$ref": "Operation" } } } }, "GoogleCloudVisionV1p2beta1Position": { "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "type": "object", "id": "GoogleCloudVisionV1p2beta1Position", "properties": { "y": { "description": "Y coordinate.", "type": "number", "format": "float" }, "z": { "description": "Z coordinate (or depth).", "type": "number", "format": "float" }, "x": { "description": "X coordinate.", "type": "number", "format": "float" } } }, "ListProductsResponse": { "properties": { "nextPageToken": { "description": "Token to retrieve the next page of results, or empty if there are no more results in the list.", "type": "string" }, "products": { "items": { "$ref": "Product" }, "description": "List of products.", "type": "array" } }, "description": "Response message for the `ListProducts` method.", "type": "object", "id": "ListProductsResponse" }, "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty": { "properties": { "detectedBreak": { "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak", "description": "Detected start or end of a text segment." }, "detectedLanguages": { "items": { "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage" }, "description": "A list of detected languages together with confidence.", "type": "array" } }, "id": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty", "description": "Additional information detected on the structural component.", "type": "object" }, "WebImage": { "description": "Metadata for online images.", "type": "object", "id": "WebImage", "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the image.", "type": "number", "format": "float" } } }, "GoogleCloudVisionV1p3beta1WebDetectionWebEntity": { "id": "GoogleCloudVisionV1p3beta1WebDetectionWebEntity", "description": "Entity deduced from similar images on the Internet.", "type": "object", "properties": { "score": { "description": "Overall relevancy score for the entity. Not normalized and not comparable across different image queries.", "type": "number", "format": "float" }, "entityId": { "description": "Opaque entity ID.", "type": "string" }, "description": { "description": "Canonical description of the entity, in English.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1WebDetectionWebImage": { "description": "Metadata for online images.", "type": "object", "id": "GoogleCloudVisionV1p3beta1WebDetectionWebImage", "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "format": "float", "description": "(Deprecated) Overall relevancy score for the image.", "type": "number" } } }, "GoogleCloudVisionV1p2beta1OperationMetadata": { "properties": { "state": { "enum": [ "STATE_UNSPECIFIED", "CREATED", "RUNNING", "DONE", "CANCELLED" ], "description": "Current state of the batch operation.", "type": "string", "enumDescriptions": [ "Invalid.", "Request is received.", "Request is actively being processed.", "The batch processing is done.", "The batch processing was cancelled." ] }, "createTime": { "format": "google-datetime", "description": "The time when the batch request was received.", "type": "string" }, "updateTime": { "description": "The time when the operation result was last updated.", "type": "string", "format": "google-datetime" } }, "id": "GoogleCloudVisionV1p2beta1OperationMetadata", "description": "Contains metadata for the BatchAnnotateImages operation.", "type": "object" }, "GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse": { "id": "GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse", "description": "Response to an async batch file annotation request.", "type": "object", "properties": { "responses": { "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse" } } } }, "ListProductsInProductSetResponse": { "id": "ListProductsInProductSetResponse", "description": "Response message for the `ListProductsInProductSet` method.", "type": "object", "properties": { "nextPageToken": { "description": "Token to retrieve the next page of results, or empty if there are no more results in the list.", "type": "string" }, "products": { "description": "The list of Products.", "type": "array", "items": { "$ref": "Product" } } } }, "Paragraph": { "properties": { "boundingBox": { "$ref": "BoundingPoly", "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "description": "Confidence of the OCR results for the paragraph. Range [0, 1].", "type": "number", "format": "float" }, "property": { "$ref": "TextProperty", "description": "Additional information detected for the paragraph." }, "words": { "description": "List of all words in this paragraph.", "type": "array", "items": { "$ref": "Word" } } }, "id": "Paragraph", "description": "Structural unit of text representing a number of words in certain order.", "type": "object" }, "GoogleCloudVisionV1p2beta1Vertex": { "properties": { "x": { "description": "X coordinate.", "type": "integer", "format": "int32" }, "y": { "format": "int32", "description": "Y coordinate.", "type": "integer" } }, "id": "GoogleCloudVisionV1p2beta1Vertex", "description": "A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.", "type": "object" }, "GoogleCloudVisionV1p4beta1Celebrity": { "id": "GoogleCloudVisionV1p4beta1Celebrity", "description": "A Celebrity is a group of Faces with an identity.", "type": "object", "properties": { "name": { "description": "The resource name of the preloaded Celebrity. Has the format `builtin/{mid}`.", "type": "string" }, "displayName": { "description": "The Celebrity's display name.", "type": "string" }, "description": { "description": "The Celebrity's description.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1WebDetection": { "description": "Relevant information for the image from the Internet.", "type": "object", "id": "GoogleCloudVisionV1p3beta1WebDetection", "properties": { "fullMatchingImages": { "description": "Fully matching images from the Internet. Can include resized copies of the query image.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" } }, "pagesWithMatchingImages": { "description": "Web pages containing the matching images from the Internet.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebPage" } }, "webEntities": { "description": "Deduced entities from similar images on the Internet.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebEntity" } }, "visuallySimilarImages": { "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" }, "description": "The visually similar image results.", "type": "array" }, "bestGuessLabels": { "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebLabel" } }, "partialMatchingImages": { "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" } } } }, "GoogleCloudVisionV1p2beta1DominantColorsAnnotation": { "id": "GoogleCloudVisionV1p2beta1DominantColorsAnnotation", "description": "Set of dominant colors and their corresponding scores.", "type": "object", "properties": { "colors": { "description": "RGB color values with their score and pixel fraction.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1ColorInfo" } } } }, "GoogleCloudVisionV1p4beta1InputConfig": { "id": "GoogleCloudVisionV1p4beta1InputConfig", "description": "The desired input location and metadata.", "type": "object", "properties": { "gcsSource": { "$ref": "GoogleCloudVisionV1p4beta1GcsSource", "description": "The Google Cloud Storage location to read the input from." }, "content": { "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "type": "string", "format": "byte" }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" } } }, "TextDetectionParams": { "properties": { "enableTextDetectionConfidenceScore": { "description": "By default, Cloud Vision API only includes confidence score for DOCUMENT_TEXT_DETECTION result. Set the flag to true to include confidence score for TEXT_DETECTION as well.", "type": "boolean" }, "advancedOcrOptions": { "items": { "type": "string" }, "description": "A list of advanced OCR options to further fine-tune OCR behavior. Current valid values are: - `legacy_layout`: a heuristics layout detection algorithm, which serves as an alternative to the current ML-based layout detection algorithm. Customers can choose the best suitable layout algorithm based on their situation.", "type": "array" } }, "description": "Parameters for text detections. This is used to control TEXT_DETECTION and DOCUMENT_TEXT_DETECTION features.", "type": "object", "id": "TextDetectionParams" }, "GoogleCloudVisionV1p1beta1Property": { "properties": { "name": { "description": "Name of the property.", "type": "string" }, "value": { "description": "Value of the property.", "type": "string" }, "uint64Value": { "description": "Value of numeric properties.", "type": "string", "format": "uint64" } }, "description": "A `Property` consists of a user-supplied name/value pair.", "type": "object", "id": "GoogleCloudVisionV1p1beta1Property" }, "GoogleCloudVisionV1p2beta1GcsSource": { "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } }, "description": "The Google Cloud Storage location where the input will be read from.", "type": "object", "id": "GoogleCloudVisionV1p2beta1GcsSource" }, "GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation": { "properties": { "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "description": "Score of the result. Range [0, 1].", "type": "number", "format": "float" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "description": "Prediction for what the object in the bounding box is.", "type": "object", "id": "GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation" }, "GoogleCloudVisionV1p4beta1NormalizedVertex": { "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "id": "GoogleCloudVisionV1p4beta1NormalizedVertex", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object" }, "AddProductToProductSetRequest": { "description": "Request message for the `AddProductToProductSet` method.", "type": "object", "id": "AddProductToProductSetRequest", "properties": { "product": { "description": "Required. The resource name for the Product to be added to this ProductSet. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`", "type": "string" } } }, "AnnotateImageRequest": { "properties": { "image": { "description": "The image to be processed.", "$ref": "Image" }, "features": { "items": { "$ref": "Feature" }, "description": "Requested features.", "type": "array" }, "imageContext": { "description": "Additional context that may accompany the image.", "$ref": "ImageContext" } }, "description": "Request for performing Google Cloud Vision API tasks over a user-provided image, with user-requested features, and with context information.", "type": "object", "id": "AnnotateImageRequest" }, "GoogleCloudVisionV1p1beta1ProductKeyValue": { "properties": { "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } }, "id": "GoogleCloudVisionV1p1beta1ProductKeyValue", "description": "A product label represented as a key-value pair.", "type": "object" }, "BatchAnnotateImagesResponse": { "properties": { "responses": { "items": { "$ref": "AnnotateImageResponse" }, "description": "Individual responses to image annotation requests within the batch.", "type": "array" } }, "id": "BatchAnnotateImagesResponse", "description": "Response to a batch image annotation request.", "type": "object" }, "GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse": { "properties": { "outputConfig": { "$ref": "GoogleCloudVisionV1p1beta1OutputConfig", "description": "The output location and metadata from AsyncAnnotateFileRequest." } }, "description": "The response for a single offline file annotation request.", "type": "object", "id": "GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse" }, "GoogleCloudVisionV1p3beta1Page": { "id": "GoogleCloudVisionV1p3beta1Page", "description": "Detected page from OCR.", "type": "object", "properties": { "property": { "description": "Additional information detected on the page.", "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty" }, "blocks": { "description": "List of blocks of text, images etc on this page.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1Block" } }, "height": { "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer", "format": "int32" }, "width": { "format": "int32", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "confidence": { "description": "Confidence of the OCR results on the page. Range [0, 1].", "type": "number", "format": "float" } } }, "GoogleCloudVisionV1p4beta1TextAnnotation": { "properties": { "pages": { "items": { "$ref": "GoogleCloudVisionV1p4beta1Page" }, "description": "List of pages detected by OCR.", "type": "array" }, "text": { "description": "UTF-8 text detected on the pages.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1TextAnnotation", "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.", "type": "object" }, "WebLabel": { "description": "Label to provide extra metadata for the web detection.", "type": "object", "id": "WebLabel", "properties": { "label": { "description": "Label for extra metadata.", "type": "string" }, "languageCode": { "description": "The BCP-47 language code for `label`, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "SafeSearchAnnotation": { "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "type": "object", "id": "SafeSearchAnnotation", "properties": { "violence": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "spoof": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "adult": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "type": "string" }, "racy": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "type": "string" }, "medical": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Likelihood that this is a medical image.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] } } }, "GoogleCloudVisionV1p3beta1AnnotateImageResponse": { "id": "GoogleCloudVisionV1p3beta1AnnotateImageResponse", "description": "Response to an image annotation request.", "type": "object", "properties": { "labelAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p3beta1EntityAnnotation" }, "description": "If present, label detection has completed successfully.", "type": "array" }, "landmarkAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p3beta1EntityAnnotation" }, "description": "If present, landmark detection has completed successfully.", "type": "array" }, "safeSearchAnnotation": { "$ref": "GoogleCloudVisionV1p3beta1SafeSearchAnnotation", "description": "If present, safe-search annotation has completed successfully." }, "imagePropertiesAnnotation": { "description": "If present, image properties were extracted successfully.", "$ref": "GoogleCloudVisionV1p3beta1ImageProperties" }, "localizedObjectAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation" }, "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score.", "type": "array" }, "error": { "$ref": "Status", "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set." }, "context": { "$ref": "GoogleCloudVisionV1p3beta1ImageAnnotationContext", "description": "If present, contextual information is needed to understand where this image comes from." }, "productSearchResults": { "$ref": "GoogleCloudVisionV1p3beta1ProductSearchResults", "description": "If present, product search has completed successfully." }, "cropHintsAnnotation": { "$ref": "GoogleCloudVisionV1p3beta1CropHintsAnnotation", "description": "If present, crop hints have completed successfully." }, "logoAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p3beta1EntityAnnotation" }, "description": "If present, logo detection has completed successfully.", "type": "array" }, "fullTextAnnotation": { "$ref": "GoogleCloudVisionV1p3beta1TextAnnotation", "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text." }, "faceAnnotations": { "description": "If present, face detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1FaceAnnotation" } }, "textAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p3beta1EntityAnnotation" }, "description": "If present, text (OCR) detection has completed successfully.", "type": "array" }, "webDetection": { "$ref": "GoogleCloudVisionV1p3beta1WebDetection", "description": "If present, web detection has completed successfully." } } }, "GoogleCloudVisionV1p4beta1ProductSearchResultsResult": { "properties": { "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" }, "score": { "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "type": "number", "format": "float" }, "product": { "$ref": "GoogleCloudVisionV1p4beta1Product", "description": "The Product." } }, "description": "Information about a product.", "type": "object", "id": "GoogleCloudVisionV1p4beta1ProductSearchResultsResult" }, "TextProperty": { "description": "Additional information detected on the structural component.", "type": "object", "id": "TextProperty", "properties": { "detectedLanguages": { "description": "A list of detected languages together with confidence.", "type": "array", "items": { "$ref": "DetectedLanguage" } }, "detectedBreak": { "description": "Detected start or end of a text segment.", "$ref": "DetectedBreak" } } }, "BatchAnnotateFilesRequest": { "properties": { "requests": { "items": { "$ref": "AnnotateFileRequest" }, "description": "Required. The list of file annotation requests. Right now we support only one AnnotateFileRequest in BatchAnnotateFilesRequest.", "type": "array" }, "parent": { "description": "Optional. Target project and location to make a call. Format: `projects/{project-id}/locations/{location-id}`. If no parent is specified, a region will be chosen automatically. Supported location-ids: `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`: The European Union. Example: `projects/project-A/locations/eu`.", "type": "string" }, "labels": { "description": "Optional. The labels with user-defined metadata for the request. Label keys and values can be no longer than 63 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.", "type": "object", "additionalProperties": { "type": "string" } } }, "description": "A list of requests to annotate files using the BatchAnnotateFiles API.", "type": "object", "id": "BatchAnnotateFilesRequest" }, "GoogleCloudVisionV1p4beta1Paragraph": { "description": "Structural unit of text representing a number of words in certain order.", "type": "object", "id": "GoogleCloudVisionV1p4beta1Paragraph", "properties": { "property": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty", "description": "Additional information detected for the paragraph." }, "words": { "description": "List of all words in this paragraph.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1Word" } }, "boundingBox": { "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the paragraph. Range [0, 1].", "type": "number" } } }, "GoogleCloudVisionV1p1beta1Symbol": { "id": "GoogleCloudVisionV1p1beta1Symbol", "description": "A single symbol representation.", "type": "object", "properties": { "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" }, "boundingBox": { "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" }, "confidence": { "description": "Confidence of the OCR results for the symbol. Range [0, 1].", "type": "number", "format": "float" }, "property": { "description": "Additional information detected for the symbol.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty" } } }, "GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse": { "properties": { "responses": { "description": "The list of file annotation responses, one for each request in AsyncBatchAnnotateFilesRequest.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse" } } }, "description": "Response to an async batch file annotation request.", "type": "object", "id": "GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse" }, "GoogleCloudVisionV1p1beta1WebDetectionWebImage": { "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "format": "float", "description": "(Deprecated) Overall relevancy score for the image.", "type": "number" } }, "description": "Metadata for online images.", "type": "object", "id": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" }, "GoogleCloudVisionV1p3beta1ImportProductSetsResponse": { "id": "GoogleCloudVisionV1p3beta1ImportProductSetsResponse", "description": "Response message for the `ImportProductSets` method. This message is returned by the google.longrunning.Operations.GetOperation method in the returned google.longrunning.Operation.response field.", "type": "object", "properties": { "referenceImages": { "description": "The list of reference_images that are imported successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ReferenceImage" } }, "statuses": { "description": "The rpc status for each ImportProductSet request, including both successes and errors. The number of statuses here matches the number of lines in the csv file, and statuses[i] stores the success or failure status of processing the i-th line of the csv, starting from line 0.", "type": "array", "items": { "$ref": "Status" } } } }, "GoogleCloudVisionV1p1beta1LocationInfo": { "id": "GoogleCloudVisionV1p1beta1LocationInfo", "description": "Detected entity location information.", "type": "object", "properties": { "latLng": { "$ref": "LatLng", "description": "lat/long location coordinates." } } }, "GoogleCloudVisionV1p2beta1OutputConfig": { "description": "The desired output location and metadata.", "type": "object", "id": "GoogleCloudVisionV1p2beta1OutputConfig", "properties": { "gcsDestination": { "description": "The Google Cloud Storage location to write the output(s) to.", "$ref": "GoogleCloudVisionV1p2beta1GcsDestination" }, "batchSize": { "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.", "type": "integer", "format": "int32" } } }, "GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage": { "description": "Detected language for a structural component.", "type": "object", "id": "GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage", "properties": { "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "confidence": { "format": "float", "description": "Confidence of detected language. Range [0, 1].", "type": "number" } } }, "Property": { "id": "Property", "description": "A `Property` consists of a user-supplied name/value pair.", "type": "object", "properties": { "uint64Value": { "description": "Value of numeric properties.", "type": "string", "format": "uint64" }, "value": { "description": "Value of the property.", "type": "string" }, "name": { "description": "Name of the property.", "type": "string" } } }, "ObjectAnnotation": { "description": "Prediction for what the object in the bounding box is.", "type": "object", "id": "ObjectAnnotation", "properties": { "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "description": "Score of the result. Range [0, 1].", "type": "number", "format": "float" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1WebDetectionWebPage": { "properties": { "url": { "description": "The result web page URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the web page.", "type": "number", "format": "float" }, "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" }, "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" }, "fullMatchingImages": { "description": "Fully matching images on the page. Can include resized copies of the query image.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1WebDetectionWebImage" } }, "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" } }, "id": "GoogleCloudVisionV1p3beta1WebDetectionWebPage", "description": "Metadata for web pages.", "type": "object" }, "Page": { "id": "Page", "description": "Detected page from OCR.", "type": "object", "properties": { "blocks": { "items": { "$ref": "Block" }, "description": "List of blocks of text, images etc on this page.", "type": "array" }, "property": { "$ref": "TextProperty", "description": "Additional information detected on the page." }, "width": { "format": "int32", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "confidence": { "format": "float", "description": "Confidence of the OCR results on the page. Range [0, 1].", "type": "number" }, "height": { "format": "int32", "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" } } }, "WebDetection": { "properties": { "fullMatchingImages": { "description": "Fully matching images from the Internet. Can include resized copies of the query image.", "type": "array", "items": { "$ref": "WebImage" } }, "pagesWithMatchingImages": { "items": { "$ref": "WebPage" }, "description": "Web pages containing the matching images from the Internet.", "type": "array" }, "webEntities": { "description": "Deduced entities from similar images on the Internet.", "type": "array", "items": { "$ref": "WebEntity" } }, "visuallySimilarImages": { "items": { "$ref": "WebImage" }, "description": "The visually similar image results.", "type": "array" }, "bestGuessLabels": { "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web.", "type": "array", "items": { "$ref": "WebLabel" } }, "partialMatchingImages": { "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array", "items": { "$ref": "WebImage" } } }, "id": "WebDetection", "description": "Relevant information for the image from the Internet.", "type": "object" }, "GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak": { "description": "Detected start or end of a structural component.", "type": "object", "id": "GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak", "properties": { "type": { "enumDescriptions": [ "Unknown break label type.", "Regular space.", "Sure space (very wide).", "Line-wrapping break.", "End-line hyphen that is not present in text; does not co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.", "Line break that ends a paragraph." ], "enum": [ "UNKNOWN", "SPACE", "SURE_SPACE", "EOL_SURE_SPACE", "HYPHEN", "LINE_BREAK" ], "description": "Detected break type.", "type": "string" }, "isPrefix": { "description": "True if break prepends the element.", "type": "boolean" } } }, "BoundingPoly": { "properties": { "vertices": { "description": "The bounding polygon vertices.", "type": "array", "items": { "$ref": "Vertex" } }, "normalizedVertices": { "description": "The bounding polygon normalized vertices.", "type": "array", "items": { "$ref": "NormalizedVertex" } } }, "id": "BoundingPoly", "description": "A bounding polygon for the detected image annotation.", "type": "object" }, "GoogleCloudVisionV1p3beta1GcsDestination": { "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } }, "description": "The Google Cloud Storage location where the output will be written to.", "type": "object", "id": "GoogleCloudVisionV1p3beta1GcsDestination" }, "KeyValue": { "properties": { "key": { "description": "The key of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" }, "value": { "description": "The value of the label attached to the product. Cannot be empty and cannot exceed 128 bytes.", "type": "string" } }, "description": "A product label represented as a key-value pair.", "type": "object", "id": "KeyValue" }, "AsyncAnnotateFileRequest": { "id": "AsyncAnnotateFileRequest", "description": "An offline file annotation request.", "type": "object", "properties": { "inputConfig": { "description": "Required. Information about the input file.", "$ref": "InputConfig" }, "features": { "items": { "$ref": "Feature" }, "description": "Required. Requested features.", "type": "array" }, "imageContext": { "$ref": "ImageContext", "description": "Additional context that may accompany the image(s) in the file." }, "outputConfig": { "description": "Required. The desired output location and metadata (e.g. format).", "$ref": "OutputConfig" } } }, "ReferenceImage": { "properties": { "name": { "description": "The resource name of the reference image. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image.", "type": "string" }, "uri": { "description": "Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`.", "type": "string" }, "boundingPolys": { "description": "Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).", "type": "array", "items": { "$ref": "BoundingPoly" } } }, "description": "A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes.", "type": "object", "id": "ReferenceImage" }, "TextAnnotation": { "properties": { "pages": { "items": { "$ref": "Page" }, "description": "List of pages detected by OCR.", "type": "array" }, "text": { "description": "UTF-8 text detected on the pages.", "type": "string" } }, "id": "TextAnnotation", "description": "TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -\u003e Page -\u003e Block -\u003e Paragraph -\u003e Word -\u003e Symbol Each structural component, starting from Page, may further have their own properties. Properties describe detected languages, breaks etc.. Please refer to the TextAnnotation.TextProperty message definition below for more detail.", "type": "object" }, "ImageSource": { "id": "ImageSource", "description": "External image source (Google Cloud Storage or web URL image location).", "type": "object", "properties": { "gcsImageUri": { "description": "**Use `image_uri` instead.** The Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info.", "type": "string" }, "imageUri": { "description": "The URI of the source image. Can be either: 1. A Google Cloud Storage URI of the form `gs://bucket_name/object_name`. Object versioning is not supported. See [Google Cloud Storage Request URIs](https://cloud.google.com/storage/docs/reference-uris) for more info. 2. A publicly-accessible image HTTP/HTTPS URL. When fetching images from HTTP/HTTPS URLs, Google cannot guarantee that the request will be completed. Your request may fail if the specified host denies the request (e.g. due to request throttling or DOS prevention), or if Google throttles requests to the site for abuse prevention. You should not depend on externally-hosted images for production applications. When both `gcs_image_uri` and `image_uri` are specified, `image_uri` takes precedence.", "type": "string" } } }, "GoogleCloudVisionV1p3beta1ProductSearchResultsResult": { "properties": { "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" }, "product": { "$ref": "GoogleCloudVisionV1p3beta1Product", "description": "The Product." }, "score": { "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "type": "number", "format": "float" } }, "description": "Information about a product.", "type": "object", "id": "GoogleCloudVisionV1p3beta1ProductSearchResultsResult" }, "GoogleCloudVisionV1p3beta1Paragraph": { "properties": { "property": { "description": "Additional information detected for the paragraph.", "$ref": "GoogleCloudVisionV1p3beta1TextAnnotationTextProperty" }, "words": { "description": "List of all words in this paragraph.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1Word" } }, "boundingBox": { "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly", "description": "The bounding box for the paragraph. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3)." }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the paragraph. Range [0, 1].", "type": "number" } }, "id": "GoogleCloudVisionV1p3beta1Paragraph", "description": "Structural unit of text representing a number of words in certain order.", "type": "object" }, "GoogleCloudVisionV1p3beta1InputConfig": { "properties": { "content": { "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "type": "string", "format": "byte" }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" }, "gcsSource": { "description": "The Google Cloud Storage location to read the input from.", "$ref": "GoogleCloudVisionV1p3beta1GcsSource" } }, "description": "The desired input location and metadata.", "type": "object", "id": "GoogleCloudVisionV1p3beta1InputConfig" }, "GoogleCloudVisionV1p1beta1WebDetectionWebPage": { "id": "GoogleCloudVisionV1p1beta1WebDetectionWebPage", "description": "Metadata for web pages.", "type": "object", "properties": { "url": { "description": "The result web page URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the web page.", "type": "number", "format": "float" }, "partialMatchingImages": { "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" } }, "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "fullMatchingImages": { "description": "Fully matching images on the page. Can include resized copies of the query image.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" } } } }, "GoogleCloudVisionV1p1beta1WebDetection": { "properties": { "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" }, "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" }, "bestGuessLabels": { "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebLabel" } }, "webEntities": { "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebEntity" }, "description": "Deduced entities from similar images on the Internet.", "type": "array" }, "visuallySimilarImages": { "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" }, "description": "The visually similar image results.", "type": "array" }, "fullMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebImage" }, "description": "Fully matching images from the Internet. Can include resized copies of the query image.", "type": "array" }, "pagesWithMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p1beta1WebDetectionWebPage" }, "description": "Web pages containing the matching images from the Internet.", "type": "array" } }, "id": "GoogleCloudVisionV1p1beta1WebDetection", "description": "Relevant information for the image from the Internet.", "type": "object" }, "CropHintsParams": { "description": "Parameters for crop hints annotation request.", "type": "object", "id": "CropHintsParams", "properties": { "aspectRatios": { "description": "Aspect ratios in floats, representing the ratio of the width to the height of the image. For example, if the desired aspect ratio is 4/3, the corresponding float value should be 1.33333. If not specified, the best possible crop is returned. The number of provided aspect ratios is limited to a maximum of 16; any aspect ratios provided after the 16th are ignored.", "type": "array", "items": { "type": "number", "format": "float" } } } }, "GoogleCloudVisionV1p3beta1ImageAnnotationContext": { "properties": { "uri": { "description": "The URI of the file used to produce the image.", "type": "string" }, "pageNumber": { "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.", "type": "integer", "format": "int32" } }, "id": "GoogleCloudVisionV1p3beta1ImageAnnotationContext", "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "type": "object" }, "ImageProperties": { "id": "ImageProperties", "description": "Stores image properties, such as dominant colors.", "type": "object", "properties": { "dominantColors": { "description": "If present, dominant colors completed successfully.", "$ref": "DominantColorsAnnotation" } } }, "GcsSource": { "properties": { "uri": { "description": "Google Cloud Storage URI for the input file. This must only be a Google Cloud Storage object. Wildcards are not currently supported.", "type": "string" } }, "id": "GcsSource", "description": "The Google Cloud Storage location where the input will be read from.", "type": "object" }, "GoogleCloudVisionV1p3beta1CropHintsAnnotation": { "properties": { "cropHints": { "description": "Crop hint results.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1CropHint" } } }, "description": "Set of crop hints that are used to generate new crops when serving images.", "type": "object", "id": "GoogleCloudVisionV1p3beta1CropHintsAnnotation" }, "GoogleCloudVisionV1p1beta1CropHintsAnnotation": { "properties": { "cropHints": { "description": "Crop hint results.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1CropHint" } } }, "id": "GoogleCloudVisionV1p1beta1CropHintsAnnotation", "description": "Set of crop hints that are used to generate new crops when serving images.", "type": "object" }, "GoogleCloudVisionV1p4beta1FaceAnnotationLandmark": { "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "type": "object", "id": "GoogleCloudVisionV1p4beta1FaceAnnotationLandmark", "properties": { "type": { "description": "Face landmark type.", "type": "string", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ], "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ] }, "position": { "description": "Face landmark position.", "$ref": "GoogleCloudVisionV1p4beta1Position" } } }, "GoogleCloudVisionV1p4beta1WebDetectionWebPage": { "description": "Metadata for web pages.", "type": "object", "id": "GoogleCloudVisionV1p4beta1WebDetectionWebPage", "properties": { "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "fullMatchingImages": { "description": "Fully matching images on the page. Can include resized copies of the query image.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" } }, "partialMatchingImages": { "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" } }, "url": { "description": "The result web page URL.", "type": "string" }, "score": { "format": "float", "description": "(Deprecated) Overall relevancy score for the web page.", "type": "number" } } }, "NormalizedVertex": { "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object", "id": "NormalizedVertex", "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } } }, "GoogleCloudVisionV1p2beta1WebDetectionWebPage": { "id": "GoogleCloudVisionV1p2beta1WebDetectionWebPage", "description": "Metadata for web pages.", "type": "object", "properties": { "fullMatchingImages": { "description": "Fully matching images on the page. Can include resized copies of the query image.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" } }, "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" }, "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" }, "url": { "description": "The result web page URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the web page.", "type": "number", "format": "float" } } }, "CropHintsAnnotation": { "properties": { "cropHints": { "description": "Crop hint results.", "type": "array", "items": { "$ref": "CropHint" } } }, "description": "Set of crop hints that are used to generate new crops when serving images.", "type": "object", "id": "CropHintsAnnotation" }, "GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation": { "id": "GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation", "description": "Set of detected objects with bounding boxes.", "type": "object", "properties": { "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly", "description": "Image region to which this object belongs. This must be populated." }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" } } }, "LocationInfo": { "properties": { "latLng": { "description": "lat/long location coordinates.", "$ref": "LatLng" } }, "id": "LocationInfo", "description": "Detected entity location information.", "type": "object" }, "GoogleCloudVisionV1p4beta1WebDetectionWebImage": { "properties": { "url": { "description": "The result image URL.", "type": "string" }, "score": { "format": "float", "description": "(Deprecated) Overall relevancy score for the image.", "type": "number" } }, "id": "GoogleCloudVisionV1p4beta1WebDetectionWebImage", "description": "Metadata for online images.", "type": "object" }, "GoogleCloudVisionV1p1beta1Position": { "properties": { "z": { "description": "Z coordinate (or depth).", "type": "number", "format": "float" }, "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "description": "Y coordinate.", "type": "number", "format": "float" } }, "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "type": "object", "id": "GoogleCloudVisionV1p1beta1Position" }, "GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse": { "id": "GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse", "description": "A list of file annotation responses.", "type": "object", "properties": { "responses": { "description": "The list of file annotation responses, each response corresponding to each AnnotateFileRequest in BatchAnnotateFilesRequest.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1AnnotateFileResponse" } } } }, "Empty": { "id": "Empty", "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", "type": "object", "properties": {} }, "GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation": { "properties": { "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "boundingPoly": { "description": "Image region to which this object belongs. This must be populated.", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "format": "float", "description": "Score of the result. Range [0, 1].", "type": "number" } }, "id": "GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation", "description": "Set of detected objects with bounding boxes.", "type": "object" }, "GoogleCloudVisionV1p2beta1ProductSearchResultsResult": { "description": "Information about a product.", "type": "object", "id": "GoogleCloudVisionV1p2beta1ProductSearchResultsResult", "properties": { "score": { "format": "float", "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "type": "number" }, "product": { "$ref": "GoogleCloudVisionV1p2beta1Product", "description": "The Product." }, "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" } } }, "GoogleCloudVisionV1p4beta1Page": { "description": "Detected page from OCR.", "type": "object", "id": "GoogleCloudVisionV1p4beta1Page", "properties": { "blocks": { "description": "List of blocks of text, images etc on this page.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1Block" } }, "property": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty", "description": "Additional information detected on the page." }, "height": { "format": "int32", "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "width": { "format": "int32", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "confidence": { "format": "float", "description": "Confidence of the OCR results on the page. Range [0, 1].", "type": "number" } } }, "GoogleCloudVisionV1p4beta1Symbol": { "description": "A single symbol representation.", "type": "object", "id": "GoogleCloudVisionV1p4beta1Symbol", "properties": { "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" }, "boundingBox": { "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of the OCR results for the symbol. Range [0, 1].", "type": "number" }, "property": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty", "description": "Additional information detected for the symbol." } } }, "GoogleCloudVisionV1p3beta1NormalizedVertex": { "properties": { "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "format": "float", "description": "Y coordinate.", "type": "number" } }, "id": "GoogleCloudVisionV1p3beta1NormalizedVertex", "description": "A vertex represents a 2D point in the image. NOTE: the normalized vertex coordinates are relative to the original image and range from 0 to 1.", "type": "object" }, "Product": { "properties": { "productLabels": { "description": "Key-value pairs that can be attached to a product. At query time, constraints can be specified based on the product_labels. Note that integer values can be provided as strings, e.g. \"1199\". Only strings with integer values can match a range-based restriction which is to be supported soon. Multiple values can be assigned to the same key. One product may have up to 500 product_labels. Notice that the total number of distinct product_labels over all products in one ProductSet cannot exceed 1M, otherwise the product search pipeline will refuse to work for that ProductSet.", "type": "array", "items": { "$ref": "KeyValue" } }, "displayName": { "description": "The user-provided name for this Product. Must not be empty. Must be at most 4096 characters long.", "type": "string" }, "productCategory": { "description": "Immutable. The category for the product identified by the reference image. This should be one of \"homegoods-v2\", \"apparel-v2\", \"toys-v2\", \"packagedgoods-v1\" or \"general-v1\". The legacy categories \"homegoods\", \"apparel\", and \"toys\" are still supported, but these should not be used for new products.", "type": "string" }, "description": { "description": "User-provided metadata to be stored with this product. Must be at most 4096 characters long.", "type": "string" }, "name": { "description": "The resource name of the product. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is ignored when creating a product.", "type": "string" } }, "id": "Product", "description": "A Product contains ReferenceImages.", "type": "object" }, "GoogleCloudVisionV1p3beta1OutputConfig": { "properties": { "gcsDestination": { "$ref": "GoogleCloudVisionV1p3beta1GcsDestination", "description": "The Google Cloud Storage location to write the output(s) to." }, "batchSize": { "format": "int32", "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.", "type": "integer" } }, "id": "GoogleCloudVisionV1p3beta1OutputConfig", "description": "The desired output location and metadata.", "type": "object" }, "GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage": { "description": "Detected language for a structural component.", "type": "object", "id": "GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage", "properties": { "confidence": { "format": "float", "description": "Confidence of detected language. Range [0, 1].", "type": "number" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } } }, "GoogleCloudVisionV1p4beta1SafeSearchAnnotation": { "description": "Set of features pertaining to the image, computed by computer vision methods over safe-search verticals (for example, adult, spoof, medical, violence).", "type": "object", "id": "GoogleCloudVisionV1p4beta1SafeSearchAnnotation", "properties": { "violence": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that this image contains violent content. Violent content may include death, serious harm, or injury to individuals or groups of individuals.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "spoof": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Spoof likelihood. The likelihood that an modification was made to the image's canonical version to make it appear funny or offensive.", "type": "string" }, "adult": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Represents the adult content likelihood for the image. Adult content may contain elements such as nudity, pornographic images or cartoons, or sexual activities.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "racy": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that the request image contains racy content. Racy content may include (but is not limited to) skimpy or sheer clothing, strategically covered nudity, lewd or provocative poses, or close-ups of sensitive body areas.", "type": "string" }, "medical": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Likelihood that this is a medical image.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] } } }, "Result": { "properties": { "score": { "format": "float", "description": "A confidence level on the match, ranging from 0 (no confidence) to 1 (full confidence).", "type": "number" }, "product": { "$ref": "Product", "description": "The Product." }, "image": { "description": "The resource name of the image from the product that is the closest match to the query.", "type": "string" } }, "description": "Information about a product.", "type": "object", "id": "Result" }, "GoogleCloudVisionV1p3beta1EntityAnnotation": { "description": "Set of detected entity features.", "type": "object", "id": "GoogleCloudVisionV1p3beta1EntityAnnotation", "properties": { "score": { "description": "Overall score of the result. Range [0, 1].", "type": "number", "format": "float" }, "confidence": { "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "type": "number", "deprecated": true, "format": "float" }, "locations": { "items": { "$ref": "GoogleCloudVisionV1p3beta1LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.", "type": "array" }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "boundingPoly": { "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features.", "$ref": "GoogleCloudVisionV1p3beta1BoundingPoly" }, "properties": { "items": { "$ref": "GoogleCloudVisionV1p3beta1Property" }, "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity.", "type": "array" }, "topicality": { "format": "float", "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "type": "number" }, "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" } } }, "GoogleCloudVisionV1p2beta1FaceAnnotation": { "description": "A face annotation object contains the results of face detection.", "type": "object", "id": "GoogleCloudVisionV1p2beta1FaceAnnotation", "properties": { "joyLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Joy likelihood.", "type": "string" }, "landmarkingConfidence": { "description": "Face landmarking confidence. Range [0, 1].", "type": "number", "format": "float" }, "fdBoundingPoly": { "description": "The `fd_bounding_poly` bounding polygon is tighter than the `boundingPoly`, and encloses only the skin part of the face. Typically, it is used to eliminate the face from any image analysis that detects the \"amount of skin\" visible in an image. It is not based on the landmarker results, only on the initial face detection, hence the fd (face detection) prefix.", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "blurredLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Blurred likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "surpriseLikelihood": { "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Surprise likelihood.", "type": "string", "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "sorrowLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Sorrow likelihood.", "type": "string" }, "angerLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "description": "Anger likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ] }, "panAngle": { "description": "Yaw angle, which indicates the leftward/rightward angle that the face is pointing relative to the vertical plane perpendicular to the image. Range [-180,180].", "type": "number", "format": "float" }, "headwearLikelihood": { "description": "Headwear likelihood.", "type": "string", "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ] }, "underExposedLikelihood": { "enumDescriptions": [ "Unknown likelihood.", "It is very unlikely.", "It is unlikely.", "It is possible.", "It is likely.", "It is very likely." ], "enum": [ "UNKNOWN", "VERY_UNLIKELY", "UNLIKELY", "POSSIBLE", "LIKELY", "VERY_LIKELY" ], "description": "Under-exposed likelihood.", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly", "description": "The bounding polygon around the face. The coordinates of the bounding box are in the original image's scale. The bounding box is computed to \"frame\" the face in accordance with human expectations. It is based on the landmarker results. Note that one or more x and/or y coordinates may not be generated in the `BoundingPoly` (the polygon will be unbounded) if only a partial face appears in the image to be annotated." }, "tiltAngle": { "format": "float", "description": "Pitch angle, which indicates the upwards/downwards angle that the face is pointing relative to the image's horizontal plane. Range [-180,180].", "type": "number" }, "rollAngle": { "format": "float", "description": "Roll angle, which indicates the amount of clockwise/anti-clockwise rotation of the face relative to the image vertical about the axis perpendicular to the face. Range [-180,180].", "type": "number" }, "landmarks": { "description": "Detected face landmarks.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1FaceAnnotationLandmark" } }, "detectionConfidence": { "format": "float", "description": "Detection confidence. Range [0, 1].", "type": "number" } } }, "ImportProductSetsInputConfig": { "description": "The input content for the `ImportProductSets` method.", "type": "object", "id": "ImportProductSetsInputConfig", "properties": { "gcsSource": { "$ref": "ImportProductSetsGcsSource", "description": "The Google Cloud Storage location for a csv file which preserves a list of ImportProductSetRequests in each line." } } }, "ProductSetPurgeConfig": { "properties": { "productSetId": { "description": "The ProductSet that contains the Products to delete. If a Product is a member of product_set_id in addition to other ProductSets, the Product will still be deleted.", "type": "string" } }, "description": "Config to control which ProductSet contains the Products to be deleted.", "type": "object", "id": "ProductSetPurgeConfig" }, "GoogleCloudVisionV1p1beta1ImageAnnotationContext": { "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "type": "object", "id": "GoogleCloudVisionV1p1beta1ImageAnnotationContext", "properties": { "uri": { "description": "The URI of the file used to produce the image.", "type": "string" }, "pageNumber": { "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.", "type": "integer", "format": "int32" } } }, "GoogleCloudVisionV1p2beta1InputConfig": { "properties": { "gcsSource": { "$ref": "GoogleCloudVisionV1p2beta1GcsSource", "description": "The Google Cloud Storage location to read the input from." }, "content": { "format": "byte", "description": "File content, represented as a stream of bytes. Note: As with all `bytes` fields, protobuffers use a pure binary representation, whereas JSON representations use base64. Currently, this field only works for BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles requests.", "type": "string" }, "mimeType": { "description": "The type of the file. Currently only \"application/pdf\", \"image/tiff\" and \"image/gif\" are supported. Wildcards are not supported.", "type": "string" } }, "description": "The desired input location and metadata.", "type": "object", "id": "GoogleCloudVisionV1p2beta1InputConfig" }, "GoogleCloudVisionV1p4beta1Position": { "id": "GoogleCloudVisionV1p4beta1Position", "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "type": "object", "properties": { "z": { "description": "Z coordinate (or depth).", "type": "number", "format": "float" }, "x": { "description": "X coordinate.", "type": "number", "format": "float" }, "y": { "format": "float", "description": "Y coordinate.", "type": "number" } } }, "Landmark": { "id": "Landmark", "description": "A face-specific landmark (for example, a face feature). Landmark positions may fall outside the bounds of the image if the face is near one or more edges of the image. Therefore it is NOT guaranteed that `0 \u003c= x \u003c width` or `0 \u003c= y \u003c height`.", "type": "object", "properties": { "type": { "description": "Face landmark type.", "type": "string", "enum": [ "UNKNOWN_LANDMARK", "LEFT_EYE", "RIGHT_EYE", "LEFT_OF_LEFT_EYEBROW", "RIGHT_OF_LEFT_EYEBROW", "LEFT_OF_RIGHT_EYEBROW", "RIGHT_OF_RIGHT_EYEBROW", "MIDPOINT_BETWEEN_EYES", "NOSE_TIP", "UPPER_LIP", "LOWER_LIP", "MOUTH_LEFT", "MOUTH_RIGHT", "MOUTH_CENTER", "NOSE_BOTTOM_RIGHT", "NOSE_BOTTOM_LEFT", "NOSE_BOTTOM_CENTER", "LEFT_EYE_TOP_BOUNDARY", "LEFT_EYE_RIGHT_CORNER", "LEFT_EYE_BOTTOM_BOUNDARY", "LEFT_EYE_LEFT_CORNER", "RIGHT_EYE_TOP_BOUNDARY", "RIGHT_EYE_RIGHT_CORNER", "RIGHT_EYE_BOTTOM_BOUNDARY", "RIGHT_EYE_LEFT_CORNER", "LEFT_EYEBROW_UPPER_MIDPOINT", "RIGHT_EYEBROW_UPPER_MIDPOINT", "LEFT_EAR_TRAGION", "RIGHT_EAR_TRAGION", "LEFT_EYE_PUPIL", "RIGHT_EYE_PUPIL", "FOREHEAD_GLABELLA", "CHIN_GNATHION", "CHIN_LEFT_GONION", "CHIN_RIGHT_GONION", "LEFT_CHEEK_CENTER", "RIGHT_CHEEK_CENTER" ], "enumDescriptions": [ "Unknown face landmark detected. Should not be filled.", "Left eye.", "Right eye.", "Left of left eyebrow.", "Right of left eyebrow.", "Left of right eyebrow.", "Right of right eyebrow.", "Midpoint between eyes.", "Nose tip.", "Upper lip.", "Lower lip.", "Mouth left.", "Mouth right.", "Mouth center.", "Nose, bottom right.", "Nose, bottom left.", "Nose, bottom center.", "Left eye, top boundary.", "Left eye, right corner.", "Left eye, bottom boundary.", "Left eye, left corner.", "Right eye, top boundary.", "Right eye, right corner.", "Right eye, bottom boundary.", "Right eye, left corner.", "Left eyebrow, upper midpoint.", "Right eyebrow, upper midpoint.", "Left ear tragion.", "Right ear tragion.", "Left eye pupil.", "Right eye pupil.", "Forehead glabella.", "Chin gnathion.", "Chin left gonion.", "Chin right gonion.", "Left cheek center.", "Right cheek center." ] }, "position": { "description": "Face landmark position.", "$ref": "Position" } } }, "GoogleCloudVisionV1p4beta1ReferenceImage": { "description": "A `ReferenceImage` represents a product image and its associated metadata, such as bounding boxes.", "type": "object", "id": "GoogleCloudVisionV1p4beta1ReferenceImage", "properties": { "boundingPolys": { "items": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly" }, "description": "Optional. Bounding polygons around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. At most 10 bounding polygons will be used. The provided shape is converted into a non-rotated rectangle. Once converted, the small edge of the rectangle must be greater than or equal to 300 pixels. The aspect ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).", "type": "array" }, "name": { "description": "The resource name of the reference image. Format is: `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`. This field is ignored when creating a reference image.", "type": "string" }, "uri": { "description": "Required. The Google Cloud Storage URI of the reference image. The URI must start with `gs://`.", "type": "string" } } }, "GoogleCloudVisionV1p1beta1OutputConfig": { "properties": { "gcsDestination": { "$ref": "GoogleCloudVisionV1p1beta1GcsDestination", "description": "The Google Cloud Storage location to write the output(s) to." }, "batchSize": { "format": "int32", "description": "The max number of response protos to put into each output JSON file on Google Cloud Storage. The valid range is [1, 100]. If not specified, the default value is 20. For example, for one pdf file with 100 pages, 100 response protos will be generated. If `batch_size` = 20, then 5 json files each containing 20 response protos will be written under the prefix `gcs_destination`.`uri`. Currently, batch_size only applies to GcsDestination, with potential future support for other output configurations.", "type": "integer" } }, "id": "GoogleCloudVisionV1p1beta1OutputConfig", "description": "The desired output location and metadata.", "type": "object" }, "GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage": { "properties": { "confidence": { "format": "float", "description": "Confidence of detected language. Range [0, 1].", "type": "number" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "id": "GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage", "description": "Detected language for a structural component.", "type": "object" }, "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty": { "properties": { "detectedBreak": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak", "description": "Detected start or end of a text segment." }, "detectedLanguages": { "description": "A list of detected languages together with confidence.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage" } } }, "description": "Additional information detected on the structural component.", "type": "object", "id": "GoogleCloudVisionV1p4beta1TextAnnotationTextProperty" }, "AnnotateFileResponse": { "id": "AnnotateFileResponse", "description": "Response to a single file annotation request. A file may contain one or more images, which individually have their own responses.", "type": "object", "properties": { "responses": { "description": "Individual responses to images found within the file. This field will be empty if the `error` field is set.", "type": "array", "items": { "$ref": "AnnotateImageResponse" } }, "inputConfig": { "description": "Information about the file for which this response is generated.", "$ref": "InputConfig" }, "totalPages": { "format": "int32", "description": "This field gives the total number of pages in the file.", "type": "integer" }, "error": { "description": "If set, represents the error message for the failed request. The `responses` field will not be set in this case.", "$ref": "Status" } } }, "GoogleCloudVisionV1p3beta1LocationInfo": { "properties": { "latLng": { "$ref": "LatLng", "description": "lat/long location coordinates." } }, "description": "Detected entity location information.", "type": "object", "id": "GoogleCloudVisionV1p3beta1LocationInfo" }, "WebPage": { "id": "WebPage", "description": "Metadata for web pages.", "type": "object", "properties": { "url": { "description": "The result web page URL.", "type": "string" }, "score": { "description": "(Deprecated) Overall relevancy score for the web page.", "type": "number", "format": "float" }, "partialMatchingImages": { "description": "Partial matching images on the page. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array", "items": { "$ref": "WebImage" } }, "pageTitle": { "description": "Title for the web page, may contain HTML markups.", "type": "string" }, "fullMatchingImages": { "items": { "$ref": "WebImage" }, "description": "Fully matching images on the page. Can include resized copies of the query image.", "type": "array" } } }, "GoogleCloudVisionV1p4beta1EntityAnnotation": { "description": "Set of detected entity features.", "type": "object", "id": "GoogleCloudVisionV1p4beta1EntityAnnotation", "properties": { "description": { "description": "Entity textual description, expressed in its `locale` language.", "type": "string" }, "topicality": { "format": "float", "description": "The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of \"tower\" is likely higher to an image containing the detected \"Eiffel Tower\" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].", "type": "number" }, "properties": { "description": "Some entities may have optional user-supplied `Property` (name/value) fields, such a score or string that qualifies the entity.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1Property" } }, "mid": { "description": "Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).", "type": "string" }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "Image region to which this entity belongs. Not produced for `LABEL_DETECTION` features." }, "locale": { "description": "The language code for the locale in which the entity textual `description` is expressed.", "type": "string" }, "locations": { "items": { "$ref": "GoogleCloudVisionV1p4beta1LocationInfo" }, "description": "The location information for the detected entity. Multiple `LocationInfo` elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.", "type": "array" }, "score": { "description": "Overall score of the result. Range [0, 1].", "type": "number", "format": "float" }, "confidence": { "deprecated": true, "format": "float", "description": "**Deprecated. Use `score` instead.** The accuracy of the entity detection in an image. For example, for an image in which the \"Eiffel Tower\" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].", "type": "number" } } }, "GoogleCloudVisionV1p3beta1DominantColorsAnnotation": { "id": "GoogleCloudVisionV1p3beta1DominantColorsAnnotation", "description": "Set of dominant colors and their corresponding scores.", "type": "object", "properties": { "colors": { "description": "RGB color values with their score and pixel fraction.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p3beta1ColorInfo" } } } }, "Status": { "properties": { "message": { "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", "type": "string" }, "code": { "format": "int32", "description": "The status code, which should be an enum value of google.rpc.Code.", "type": "integer" }, "details": { "items": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." } }, "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "type": "array" } }, "id": "Status", "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "type": "object" }, "GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse": { "description": "Response to an async batch image annotation request.", "type": "object", "id": "GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse", "properties": { "outputConfig": { "$ref": "GoogleCloudVisionV1p4beta1OutputConfig", "description": "The output location and metadata from AsyncBatchAnnotateImagesRequest." } } }, "ListProductSetsResponse": { "properties": { "nextPageToken": { "description": "Token to retrieve the next page of results, or empty if there are no more results in the list.", "type": "string" }, "productSets": { "items": { "$ref": "ProductSet" }, "description": "List of ProductSets.", "type": "array" } }, "id": "ListProductSetsResponse", "description": "Response message for the `ListProductSets` method.", "type": "object" }, "GoogleCloudVisionV1p2beta1WebDetection": { "properties": { "webEntities": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebEntity" }, "description": "Deduced entities from similar images on the Internet.", "type": "array" }, "visuallySimilarImages": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" }, "description": "The visually similar image results.", "type": "array" }, "fullMatchingImages": { "description": "Fully matching images from the Internet. Can include resized copies of the query image.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" } }, "pagesWithMatchingImages": { "description": "Web pages containing the matching images from the Internet.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebPage" } }, "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebImage" }, "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" }, "bestGuessLabels": { "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p2beta1WebDetectionWebLabel" } } }, "id": "GoogleCloudVisionV1p2beta1WebDetection", "description": "Relevant information for the image from the Internet.", "type": "object" }, "DominantColorsAnnotation": { "properties": { "colors": { "description": "RGB color values with their score and pixel fraction.", "type": "array", "items": { "$ref": "ColorInfo" } } }, "description": "Set of dominant colors and their corresponding scores.", "type": "object", "id": "DominantColorsAnnotation" }, "GoogleCloudVisionV1p1beta1Page": { "description": "Detected page from OCR.", "type": "object", "id": "GoogleCloudVisionV1p1beta1Page", "properties": { "width": { "format": "int32", "description": "Page width. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "confidence": { "description": "Confidence of the OCR results on the page. Range [0, 1].", "type": "number", "format": "float" }, "height": { "format": "int32", "description": "Page height. For PDFs the unit is points. For images (including TIFFs) the unit is pixels.", "type": "integer" }, "property": { "description": "Additional information detected on the page.", "$ref": "GoogleCloudVisionV1p1beta1TextAnnotationTextProperty" }, "blocks": { "items": { "$ref": "GoogleCloudVisionV1p1beta1Block" }, "description": "List of blocks of text, images etc on this page.", "type": "array" } } }, "GoogleCloudVisionV1p4beta1WebDetection": { "properties": { "partialMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" }, "description": "Partial matching images from the Internet. Those images are similar enough to share some key-point features. For example an original image will likely have partial matching for its crops.", "type": "array" }, "bestGuessLabels": { "description": "The service's best guess as to the topic of the request image. Inferred from similar images on the open web.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebLabel" } }, "webEntities": { "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebEntity" }, "description": "Deduced entities from similar images on the Internet.", "type": "array" }, "visuallySimilarImages": { "description": "The visually similar image results.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" } }, "fullMatchingImages": { "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebImage" }, "description": "Fully matching images from the Internet. Can include resized copies of the query image.", "type": "array" }, "pagesWithMatchingImages": { "description": "Web pages containing the matching images from the Internet.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1WebDetectionWebPage" } } }, "description": "Relevant information for the image from the Internet.", "type": "object", "id": "GoogleCloudVisionV1p4beta1WebDetection" }, "GcsDestination": { "description": "The Google Cloud Storage location where the output will be written to.", "type": "object", "id": "GcsDestination", "properties": { "uri": { "description": "Google Cloud Storage URI prefix where the results will be stored. Results will be in JSON format and preceded by its corresponding input URI prefix. This field can either represent a gcs file prefix or gcs directory. In either case, the uri should be unique because in order to get all of the output files, you will need to do a wildcard gcs search on the uri prefix you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix The output files will be created in gs://bucket-name/here/ and the names of the output files will begin with \"filenameprefix\". * Directory Prefix: gs://bucket-name/some/location/ The output files will be created in gs://bucket-name/some/location/ and the names of the output files could be anything because there was no filename prefix specified. If multiple outputs, each response is still AnnotateFileResponse, each of which contains some subset of the full list of AnnotateImageResponse. Multiple outputs can happen if, for example, the output JSON is too large and overflows into multiple sharded files.", "type": "string" } } }, "GoogleCloudVisionV1p1beta1DominantColorsAnnotation": { "description": "Set of dominant colors and their corresponding scores.", "type": "object", "id": "GoogleCloudVisionV1p1beta1DominantColorsAnnotation", "properties": { "colors": { "description": "RGB color values with their score and pixel fraction.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p1beta1ColorInfo" } } } }, "GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation": { "properties": { "mid": { "description": "Object ID that should align with EntityAnnotation mid.", "type": "string" }, "name": { "description": "Object name, expressed in its `language_code` language.", "type": "string" }, "score": { "description": "Score of the result. Range [0, 1].", "type": "number", "format": "float" }, "languageCode": { "description": "The BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.", "type": "string" } }, "id": "GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation", "description": "Prediction for what the object in the bounding box is.", "type": "object" }, "GoogleCloudVisionV1p3beta1Position": { "id": "GoogleCloudVisionV1p3beta1Position", "description": "A 3D position in the image, used primarily for Face detection landmarks. A valid Position must have both x and y coordinates. The position coordinates are in the same scale as the original image.", "type": "object", "properties": { "x": { "format": "float", "description": "X coordinate.", "type": "number" }, "z": { "format": "float", "description": "Z coordinate (or depth).", "type": "number" }, "y": { "format": "float", "description": "Y coordinate.", "type": "number" } } }, "GoogleCloudVisionV1p4beta1ImageProperties": { "description": "Stores image properties, such as dominant colors.", "type": "object", "id": "GoogleCloudVisionV1p4beta1ImageProperties", "properties": { "dominantColors": { "$ref": "GoogleCloudVisionV1p4beta1DominantColorsAnnotation", "description": "If present, dominant colors completed successfully." } } }, "GoogleCloudVisionV1p1beta1CropHint": { "properties": { "boundingPoly": { "description": "The bounding polygon for the crop region. The coordinates of the bounding box are in the original image's scale.", "$ref": "GoogleCloudVisionV1p1beta1BoundingPoly" }, "confidence": { "format": "float", "description": "Confidence of this being a salient region. Range [0, 1].", "type": "number" }, "importanceFraction": { "description": "Fraction of importance of this salient region with respect to the original image.", "type": "number", "format": "float" } }, "id": "GoogleCloudVisionV1p1beta1CropHint", "description": "Single crop hint that is used to generate a new crop when serving an image.", "type": "object" }, "GoogleCloudVisionV1p2beta1BoundingPoly": { "properties": { "vertices": { "items": { "$ref": "GoogleCloudVisionV1p2beta1Vertex" }, "description": "The bounding polygon vertices.", "type": "array" }, "normalizedVertices": { "items": { "$ref": "GoogleCloudVisionV1p2beta1NormalizedVertex" }, "description": "The bounding polygon normalized vertices.", "type": "array" } }, "id": "GoogleCloudVisionV1p2beta1BoundingPoly", "description": "A bounding polygon for the detected image annotation.", "type": "object" }, "ImageAnnotationContext": { "properties": { "uri": { "description": "The URI of the file used to produce the image.", "type": "string" }, "pageNumber": { "format": "int32", "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.", "type": "integer" } }, "id": "ImageAnnotationContext", "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "type": "object" }, "GoogleCloudVisionV1p4beta1AnnotateImageResponse": { "properties": { "logoAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p4beta1EntityAnnotation" }, "description": "If present, logo detection has completed successfully.", "type": "array" }, "cropHintsAnnotation": { "description": "If present, crop hints have completed successfully.", "$ref": "GoogleCloudVisionV1p4beta1CropHintsAnnotation" }, "productSearchResults": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResults", "description": "If present, product search has completed successfully." }, "fullTextAnnotation": { "description": "If present, text (OCR) detection or document (OCR) text detection has completed successfully. This annotation provides the structural hierarchy for the OCR detected text.", "$ref": "GoogleCloudVisionV1p4beta1TextAnnotation" }, "webDetection": { "$ref": "GoogleCloudVisionV1p4beta1WebDetection", "description": "If present, web detection has completed successfully." }, "faceAnnotations": { "description": "If present, face detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1FaceAnnotation" } }, "textAnnotations": { "items": { "$ref": "GoogleCloudVisionV1p4beta1EntityAnnotation" }, "description": "If present, text (OCR) detection has completed successfully.", "type": "array" }, "landmarkAnnotations": { "description": "If present, landmark detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1EntityAnnotation" } }, "safeSearchAnnotation": { "$ref": "GoogleCloudVisionV1p4beta1SafeSearchAnnotation", "description": "If present, safe-search annotation has completed successfully." }, "imagePropertiesAnnotation": { "description": "If present, image properties were extracted successfully.", "$ref": "GoogleCloudVisionV1p4beta1ImageProperties" }, "labelAnnotations": { "description": "If present, label detection has completed successfully.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1EntityAnnotation" } }, "localizedObjectAnnotations": { "description": "If present, localized object detection has completed successfully. This will be sorted descending by confidence score.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation" } }, "error": { "description": "If set, represents the error message for the operation. Note that filled-in image annotations are guaranteed to be correct, even when `error` is set.", "$ref": "Status" }, "context": { "$ref": "GoogleCloudVisionV1p4beta1ImageAnnotationContext", "description": "If present, contextual information is needed to understand where this image comes from." } }, "description": "Response to an image annotation request.", "type": "object", "id": "GoogleCloudVisionV1p4beta1AnnotateImageResponse" }, "GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult": { "properties": { "results": { "description": "List of results, one for each product match.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResultsResult" } }, "boundingPoly": { "$ref": "GoogleCloudVisionV1p4beta1BoundingPoly", "description": "The bounding polygon around the product detected in the query image." }, "objectAnnotations": { "description": "List of generic predictions for the object in the bounding box.", "type": "array", "items": { "$ref": "GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation" } } }, "description": "Information about the products similar to a single product in a query image.", "type": "object", "id": "GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult" }, "GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse": { "properties": { "outputConfig": { "$ref": "GoogleCloudVisionV1p4beta1OutputConfig", "description": "The output location and metadata from AsyncAnnotateFileRequest." } }, "description": "The response for a single offline file annotation request.", "type": "object", "id": "GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse" }, "GoogleCloudVisionV1p3beta1ImageProperties": { "description": "Stores image properties, such as dominant colors.", "type": "object", "id": "GoogleCloudVisionV1p3beta1ImageProperties", "properties": { "dominantColors": { "$ref": "GoogleCloudVisionV1p3beta1DominantColorsAnnotation", "description": "If present, dominant colors completed successfully." } } }, "GoogleCloudVisionV1p2beta1Symbol": { "properties": { "property": { "description": "Additional information detected for the symbol.", "$ref": "GoogleCloudVisionV1p2beta1TextAnnotationTextProperty" }, "boundingBox": { "description": "The bounding box for the symbol. The vertices are in the order of top-left, top-right, bottom-right, bottom-left. When a rotation of the bounding box is detected the rotation is represented as around the top-left corner as defined when the text is read in the 'natural' orientation. For example: * when the text is horizontal it might look like: 0----1 | | 3----2 * when it's rotated 180 degrees around the top-left corner it becomes: 2----3 | | 1----0 and the vertex order will still be (0, 1, 2, 3).", "$ref": "GoogleCloudVisionV1p2beta1BoundingPoly" }, "confidence": { "description": "Confidence of the OCR results for the symbol. Range [0, 1].", "type": "number", "format": "float" }, "text": { "description": "The actual UTF-8 representation of the symbol.", "type": "string" } }, "description": "A single symbol representation.", "type": "object", "id": "GoogleCloudVisionV1p2beta1Symbol" }, "GoogleCloudVisionV1p2beta1ImageAnnotationContext": { "description": "If an image was produced from a file (e.g. a PDF), this message gives information about the source of that image.", "type": "object", "id": "GoogleCloudVisionV1p2beta1ImageAnnotationContext", "properties": { "uri": { "description": "The URI of the file used to produce the image.", "type": "string" }, "pageNumber": { "format": "int32", "description": "If the file was a PDF or TIFF, this field gives the page number within the file used to produce the image.", "type": "integer" } } } }, "title": "Cloud Vision API", "ownerDomain": "google.com", "name": "vision", "version_module": true, "documentationLink": "https://cloud.google.com/vision/", "id": "vision:v1", "protocol": "rest" }