Module google_datalabeling1_beta1::api

Structs

DataLabeling	Central instance to access all DataLabeling related resource activities
GoogleCloudDatalabelingV1beta1AnnotatedDataset	AnnotatedDataset is a set holding annotations for data in a Dataset. Each labeling task will generate an AnnotatedDataset under the Dataset that the task is requested for.
GoogleCloudDatalabelingV1beta1AnnotatedDatasetMetadata	Metadata on AnnotatedDataset.
GoogleCloudDatalabelingV1beta1Annotation	Annotation for Example. Each example may have one or more annotations. For example in image classification problem, each image might have one or more labels. We call labels binded with this image an Annotation.
GoogleCloudDatalabelingV1beta1AnnotationMetadata	Additional information associated with the annotation.
GoogleCloudDatalabelingV1beta1AnnotationSpec	Container of information related to one possible annotation that can be used in a labeling task. For example, an image classification task where images are labeled as dog or cat must reference an AnnotationSpec for dog and an AnnotationSpec for cat.
GoogleCloudDatalabelingV1beta1AnnotationSpecSet	An AnnotationSpecSet is a collection of label definitions. For example, in image classification tasks, you define a set of possible labels for images as an AnnotationSpecSet. An AnnotationSpecSet is immutable upon creation.
GoogleCloudDatalabelingV1beta1AnnotationSpecSetConfig	Annotation spec set with the setting of allowing multi labels or not.
GoogleCloudDatalabelingV1beta1AnnotationValue	Annotation value for an example.
GoogleCloudDatalabelingV1beta1Attempt	Records a failed evaluation job run.
GoogleCloudDatalabelingV1beta1BigQuerySource	The BigQuery location for input data. If used in an EvaluationJob, this is where the service saves the prediction input and output sampled from the model version.
GoogleCloudDatalabelingV1beta1BoundingBoxEvaluationOptions	Options regarding evaluation between bounding boxes.
GoogleCloudDatalabelingV1beta1BoundingPoly	A bounding polygon in the image.
GoogleCloudDatalabelingV1beta1BoundingPolyConfig	Config for image bounding poly (and bounding box) human labeling task.
GoogleCloudDatalabelingV1beta1ClassificationMetadata	Metadata for classification annotations.
GoogleCloudDatalabelingV1beta1ClassificationMetrics	Metrics calculated for a classification model.
GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry	There is no detailed description.
GoogleCloudDatalabelingV1beta1ConfusionMatrix	Confusion matrix of the model running the classification. Only applicable when the metrics entry aggregates multiple labels. Not applicable when the entry is for a single label.
GoogleCloudDatalabelingV1beta1ConfusionMatrixEntry	There is no detailed description.
GoogleCloudDatalabelingV1beta1CreateAnnotationSpecSetRequest	Request message for CreateAnnotationSpecSet.
GoogleCloudDatalabelingV1beta1CreateDatasetRequest	Request message for CreateDataset.
GoogleCloudDatalabelingV1beta1CreateEvaluationJobRequest	Request message for CreateEvaluationJob.
GoogleCloudDatalabelingV1beta1CreateInstructionRequest	Request message for CreateInstruction.
GoogleCloudDatalabelingV1beta1CsvInstruction	Deprecated: this instruction format is not supported any more. Instruction from a CSV file.
GoogleCloudDatalabelingV1beta1DataItem	DataItem is a piece of data, without annotation. For example, an image.
GoogleCloudDatalabelingV1beta1Dataset	Dataset is the resource to hold your data. You can request multiple labeling tasks for a dataset while each one will generate an AnnotatedDataset.
GoogleCloudDatalabelingV1beta1Evaluation	Describes an evaluation between a machine learning model’s predictions and ground truth labels. Created when an EvaluationJob runs successfully.
GoogleCloudDatalabelingV1beta1EvaluationConfig	Configuration details used for calculating evaluation metrics and creating an Evaluation.
GoogleCloudDatalabelingV1beta1EvaluationJob	Defines an evaluation job that runs periodically to generate Evaluations. Creating an evaluation job is the starting point for using continuous evaluation.
GoogleCloudDatalabelingV1beta1EvaluationJobAlertConfig	Provides details for how an evaluation job sends email alerts based on the results of a run.
GoogleCloudDatalabelingV1beta1EvaluationJobConfig	Configures specific details of how a continuous evaluation job works. Provide this configuration when you create an EvaluationJob.
GoogleCloudDatalabelingV1beta1EvaluationMetrics	There is no detailed description.
GoogleCloudDatalabelingV1beta1EventConfig	Config for video event human labeling task.
GoogleCloudDatalabelingV1beta1Example	An Example is a piece of data and its annotation. For example, an image with label “house”.
GoogleCloudDatalabelingV1beta1ExampleComparison	Example comparisons comparing ground truth output and predictions for a specific input.
GoogleCloudDatalabelingV1beta1ExportDataRequest	Request message for ExportData API.
GoogleCloudDatalabelingV1beta1FeedbackMessage	A feedback message inside a feedback thread.
GoogleCloudDatalabelingV1beta1FeedbackThread	A feedback thread of a certain labeling task on a certain annotated dataset.
GoogleCloudDatalabelingV1beta1FeedbackThreadMetadata	There is no detailed description.
GoogleCloudDatalabelingV1beta1GcsDestination	Export destination of the data.Only gcs path is allowed in output_uri.
GoogleCloudDatalabelingV1beta1GcsFolderDestination	Export folder destination of the data.
GoogleCloudDatalabelingV1beta1GcsSource	Source of the Cloud Storage file to be imported.
GoogleCloudDatalabelingV1beta1HumanAnnotationConfig	Configuration for how human labeling task should be done.
GoogleCloudDatalabelingV1beta1ImageBoundingPolyAnnotation	Image bounding poly annotation. It represents a polygon including bounding box in the image.
GoogleCloudDatalabelingV1beta1ImageClassificationAnnotation	Image classification annotation definition.
GoogleCloudDatalabelingV1beta1ImageClassificationConfig	Config for image classification human labeling task.
GoogleCloudDatalabelingV1beta1ImagePayload	Container of information about an image.
GoogleCloudDatalabelingV1beta1ImagePolylineAnnotation	A polyline for the image annotation.
GoogleCloudDatalabelingV1beta1ImageSegmentationAnnotation	Image segmentation annotation.
GoogleCloudDatalabelingV1beta1ImportDataRequest	Request message for ImportData API.
GoogleCloudDatalabelingV1beta1InputConfig	The configuration of input data, including data type, location, etc.
GoogleCloudDatalabelingV1beta1Instruction	Instruction of how to perform the labeling task for human operators. Currently only PDF instruction is supported.
GoogleCloudDatalabelingV1beta1LabelImageRequest	Request message for starting an image labeling task.
GoogleCloudDatalabelingV1beta1LabelStats	Statistics about annotation specs.
GoogleCloudDatalabelingV1beta1LabelTextRequest	Request message for LabelText.
GoogleCloudDatalabelingV1beta1LabelVideoRequest	Request message for LabelVideo.
GoogleCloudDatalabelingV1beta1ListAnnotatedDatasetsResponse	Results of listing annotated datasets for a dataset.
GoogleCloudDatalabelingV1beta1ListAnnotationSpecSetsResponse	Results of listing annotation spec set under a project.
GoogleCloudDatalabelingV1beta1ListDataItemsResponse	Results of listing data items in a dataset.
GoogleCloudDatalabelingV1beta1ListDatasetsResponse	Results of listing datasets within a project.
GoogleCloudDatalabelingV1beta1ListEvaluationJobsResponse	Results for listing evaluation jobs.
GoogleCloudDatalabelingV1beta1ListExamplesResponse	Results of listing Examples in and annotated dataset.
GoogleCloudDatalabelingV1beta1ListFeedbackMessagesResponse	Results for listing FeedbackMessages.
GoogleCloudDatalabelingV1beta1ListFeedbackThreadsResponse	Results for listing FeedbackThreads.
GoogleCloudDatalabelingV1beta1ListInstructionsResponse	Results of listing instructions under a project.
GoogleCloudDatalabelingV1beta1NormalizedBoundingPoly	Normalized bounding polygon.
GoogleCloudDatalabelingV1beta1NormalizedPolyline	Normalized polyline.
GoogleCloudDatalabelingV1beta1NormalizedVertex	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.
GoogleCloudDatalabelingV1beta1ObjectDetectionConfig	Config for video object detection human labeling task. Object detection will be conducted on the images extracted from the video, and those objects will be labeled with bounding boxes. User need to specify the number of images to be extracted per second as the extraction frame rate.
GoogleCloudDatalabelingV1beta1ObjectDetectionMetrics	Metrics calculated for an image object detection (bounding box) model.
GoogleCloudDatalabelingV1beta1ObjectTrackingConfig	Config for video object tracking human labeling task.
GoogleCloudDatalabelingV1beta1ObjectTrackingFrame	Video frame level annotation for object detection and tracking.
GoogleCloudDatalabelingV1beta1OperatorFeedbackMetadata	Metadata describing the feedback from the operator.
GoogleCloudDatalabelingV1beta1OperatorMetadata	General information useful for labels coming from contributors.
GoogleCloudDatalabelingV1beta1OutputConfig	The configuration of output data.
GoogleCloudDatalabelingV1beta1PauseEvaluationJobRequest	Request message for PauseEvaluationJob.
GoogleCloudDatalabelingV1beta1PdfInstruction	Instruction from a PDF file.
GoogleCloudDatalabelingV1beta1Polyline	A line with multiple line segments.
GoogleCloudDatalabelingV1beta1PolylineConfig	Config for image polyline human labeling task.
GoogleCloudDatalabelingV1beta1PrCurve	There is no detailed description.
GoogleCloudDatalabelingV1beta1RequesterFeedbackMetadata	Metadata describing the feedback from the labeling task requester.
GoogleCloudDatalabelingV1beta1ResumeEvaluationJobRequest	Request message ResumeEvaluationJob.
GoogleCloudDatalabelingV1beta1Row	A row in the confusion matrix. Each entry in this row has the same ground truth label.
GoogleCloudDatalabelingV1beta1SearchEvaluationsResponse	Results of searching evaluations.
GoogleCloudDatalabelingV1beta1SearchExampleComparisonsRequest	Request message of SearchExampleComparisons.
GoogleCloudDatalabelingV1beta1SearchExampleComparisonsResponse	Results of searching example comparisons.
GoogleCloudDatalabelingV1beta1SegmentationConfig	Config for image segmentation
GoogleCloudDatalabelingV1beta1SentimentConfig	Config for setting up sentiments.
GoogleCloudDatalabelingV1beta1SequentialSegment	Start and end position in a sequence (e.g. text segment).
GoogleCloudDatalabelingV1beta1TextClassificationAnnotation	Text classification annotation.
GoogleCloudDatalabelingV1beta1TextClassificationConfig	Config for text classification human labeling task.
GoogleCloudDatalabelingV1beta1TextEntityExtractionAnnotation	Text entity extraction annotation.
GoogleCloudDatalabelingV1beta1TextEntityExtractionConfig	Config for text entity extraction human labeling task.
GoogleCloudDatalabelingV1beta1TextMetadata	Metadata for the text.
GoogleCloudDatalabelingV1beta1TextPayload	Container of information about a piece of text.
GoogleCloudDatalabelingV1beta1TimeSegment	A time period inside of an example that has a time dimension (e.g. video).
GoogleCloudDatalabelingV1beta1Vertex	A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.
GoogleCloudDatalabelingV1beta1VideoClassificationAnnotation	Video classification annotation.
GoogleCloudDatalabelingV1beta1VideoClassificationConfig	Config for video classification human labeling task. Currently two types of video classification are supported: 1. Assign labels on the entire video. 2. Split the video into multiple video clips based on camera shot, and assign labels on each video clip.
GoogleCloudDatalabelingV1beta1VideoEventAnnotation	Video event annotation.
GoogleCloudDatalabelingV1beta1VideoObjectTrackingAnnotation	Video object tracking annotation.
GoogleCloudDatalabelingV1beta1VideoPayload	Container of information of a video.
GoogleCloudDatalabelingV1beta1VideoThumbnail	Container of information of a video thumbnail.
GoogleLongrunningListOperationsResponse	The response message for Operations.ListOperations.
GoogleLongrunningOperation	This resource represents a long-running operation that is the result of a network API call.
GoogleProtobufEmpty	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); } The JSON representation for Empty is empty JSON object {}.
GoogleRpcStatus	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. 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.
ProjectAnnotationSpecSetCreateCall	Creates an annotation spec set by providing a set of labels.
ProjectAnnotationSpecSetDeleteCall	Deletes an annotation spec set by resource name.
ProjectAnnotationSpecSetGetCall	Gets an annotation spec set by resource name.
ProjectAnnotationSpecSetListCall	Lists annotation spec sets for a project. Pagination is supported.
ProjectDatasetAnnotatedDatasetDataItemGetCall	Gets a data item in a dataset by resource name. This API can be called after data are imported into dataset.
ProjectDatasetAnnotatedDatasetDataItemListCall	Lists data items in a dataset. This API can be called after data are imported into dataset. Pagination is supported.
ProjectDatasetAnnotatedDatasetDeleteCall	Deletes an annotated dataset by resource name.
ProjectDatasetAnnotatedDatasetExampleGetCall	Gets an example by resource name, including both data and annotation.
ProjectDatasetAnnotatedDatasetExampleListCall	Lists examples in an annotated dataset. Pagination is supported.
ProjectDatasetAnnotatedDatasetFeedbackThreadDeleteCall	Delete a FeedbackThread.
ProjectDatasetAnnotatedDatasetFeedbackThreadFeedbackMessageCreateCall	Create a FeedbackMessage object.
ProjectDatasetAnnotatedDatasetFeedbackThreadFeedbackMessageDeleteCall	Delete a FeedbackMessage.
ProjectDatasetAnnotatedDatasetFeedbackThreadFeedbackMessageGetCall	Get a FeedbackMessage object.
ProjectDatasetAnnotatedDatasetFeedbackThreadFeedbackMessageListCall	List FeedbackMessages with pagination.
ProjectDatasetAnnotatedDatasetFeedbackThreadGetCall	Get a FeedbackThread object.
ProjectDatasetAnnotatedDatasetFeedbackThreadListCall	List FeedbackThreads with pagination.
ProjectDatasetAnnotatedDatasetGetCall	Gets an annotated dataset by resource name.
ProjectDatasetAnnotatedDatasetListCall	Lists annotated datasets for a dataset. Pagination is supported.
ProjectDatasetCreateCall	Creates dataset. If success return a Dataset resource.
ProjectDatasetDataItemGetCall	Gets a data item in a dataset by resource name. This API can be called after data are imported into dataset.
ProjectDatasetDataItemListCall	Lists data items in a dataset. This API can be called after data are imported into dataset. Pagination is supported.
ProjectDatasetDeleteCall	Deletes a dataset by resource name.
ProjectDatasetEvaluationExampleComparisonSearchCall	Searches example comparisons from an evaluation. The return format is a list of example comparisons that show ground truth and prediction(s) for a single input. Search by providing an evaluation ID.
ProjectDatasetEvaluationGetCall	Gets an evaluation by resource name (to search, use projects.evaluations.search).
ProjectDatasetExportDataCall	Exports data and annotations from dataset.
ProjectDatasetGetCall	Gets dataset by resource name.
ProjectDatasetImageLabelCall	Starts a labeling task for image. The type of image labeling task is configured by feature in the request.
ProjectDatasetImportDataCall	Imports data into dataset based on source locations defined in request. It can be called multiple times for the same dataset. Each dataset can only have one long running operation running on it. For example, no labeling task (also long running operation) can be started while importing is still ongoing. Vice versa.
ProjectDatasetListCall	Lists datasets under a project. Pagination is supported.
ProjectDatasetTextLabelCall	Starts a labeling task for text. The type of text labeling task is configured by feature in the request.
ProjectDatasetVideoLabelCall	Starts a labeling task for video. The type of video labeling task is configured by feature in the request.
ProjectEvaluationJobCreateCall	Creates an evaluation job.
ProjectEvaluationJobDeleteCall	Stops and deletes an evaluation job.
ProjectEvaluationJobGetCall	Gets an evaluation job by resource name.
ProjectEvaluationJobListCall	Lists all evaluation jobs within a project with possible filters. Pagination is supported.
ProjectEvaluationJobPatchCall	Updates an evaluation job. You can only update certain fields of the job’s EvaluationJobConfig: humanAnnotationConfig.instruction, exampleCount, and exampleSamplePercentage. If you want to change any other aspect of the evaluation job, you must delete the job and create a new one.
ProjectEvaluationJobPauseCall	Pauses an evaluation job. Pausing an evaluation job that is already in a PAUSED state is a no-op.
ProjectEvaluationJobResumeCall	Resumes a paused evaluation job. A deleted evaluation job can’t be resumed. Resuming a running or scheduled evaluation job is a no-op.
ProjectEvaluationSearchCall	Searches evaluations within a project.
ProjectInstructionCreateCall	Creates an instruction for how data should be labeled.
ProjectInstructionDeleteCall	Deletes an instruction object by resource name.
ProjectInstructionGetCall	Gets an instruction by resource name.
ProjectInstructionListCall	Lists instructions for a project. Pagination is supported.
ProjectMethods	A builder providing access to all methods supported on project resources. It is not used directly, but through the DataLabeling hub.
ProjectOperationCancelCall	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.
ProjectOperationDeleteCall	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.
ProjectOperationGetCall	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.
ProjectOperationListCall	Lists operations that match the specified filter in the request. If the server doesn’t support this method, it returns UNIMPLEMENTED. NOTE: the name binding allows API services to override the binding to use different resource name schemes, such as users/*/operations. To override the binding, API services can add a binding such as "/v1/{name=users/*}/operations" to their service configuration. For backwards compatibility, the default name includes the operations collection id, however overriding users must ensure the name binding is the parent resource, without the operations collection id.

Enums

Scope

Identifies the an OAuth2 authorization scope. A scope is needed when requesting an authorization token.