Package Classes (1.10.5)

Summary of entries of Classes for datalabeling.

Classes

DataLabelingServiceAsyncClient

Service for the AI Platform Data Labeling API.

DataLabelingServiceClient

Service for the AI Platform Data Labeling API.

ListAnnotatedDatasetsAsyncPager

A pager for iterating through list_annotated_datasets requests.

This class thinly wraps an initial ListAnnotatedDatasetsResponse object, and provides an __aiter__ method to iterate through its annotated_datasets field.

If there are more pages, the __aiter__ method will make additional ListAnnotatedDatasets requests and continue to iterate through the annotated_datasets field on the corresponding responses.

All the usual ListAnnotatedDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListAnnotatedDatasetsPager

A pager for iterating through list_annotated_datasets requests.

This class thinly wraps an initial ListAnnotatedDatasetsResponse object, and provides an __iter__ method to iterate through its annotated_datasets field.

If there are more pages, the __iter__ method will make additional ListAnnotatedDatasets requests and continue to iterate through the annotated_datasets field on the corresponding responses.

All the usual ListAnnotatedDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListAnnotationSpecSetsAsyncPager

A pager for iterating through list_annotation_spec_sets requests.

This class thinly wraps an initial ListAnnotationSpecSetsResponse object, and provides an __aiter__ method to iterate through its annotation_spec_sets field.

If there are more pages, the __aiter__ method will make additional ListAnnotationSpecSets requests and continue to iterate through the annotation_spec_sets field on the corresponding responses.

All the usual ListAnnotationSpecSetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListAnnotationSpecSetsPager

A pager for iterating through list_annotation_spec_sets requests.

This class thinly wraps an initial ListAnnotationSpecSetsResponse object, and provides an __iter__ method to iterate through its annotation_spec_sets field.

If there are more pages, the __iter__ method will make additional ListAnnotationSpecSets requests and continue to iterate through the annotation_spec_sets field on the corresponding responses.

All the usual ListAnnotationSpecSetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDataItemsAsyncPager

A pager for iterating through list_data_items requests.

This class thinly wraps an initial ListDataItemsResponse object, and provides an __aiter__ method to iterate through its data_items field.

If there are more pages, the __aiter__ method will make additional ListDataItems requests and continue to iterate through the data_items field on the corresponding responses.

All the usual ListDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDataItemsPager

A pager for iterating through list_data_items requests.

This class thinly wraps an initial ListDataItemsResponse object, and provides an __iter__ method to iterate through its data_items field.

If there are more pages, the __iter__ method will make additional ListDataItems requests and continue to iterate through the data_items field on the corresponding responses.

All the usual ListDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDatasetsAsyncPager

A pager for iterating through list_datasets requests.

This class thinly wraps an initial ListDatasetsResponse object, and provides an __aiter__ method to iterate through its datasets field.

If there are more pages, the __aiter__ method will make additional ListDatasets requests and continue to iterate through the datasets field on the corresponding responses.

All the usual ListDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDatasetsPager

A pager for iterating through list_datasets requests.

This class thinly wraps an initial ListDatasetsResponse object, and provides an __iter__ method to iterate through its datasets field.

If there are more pages, the __iter__ method will make additional ListDatasets requests and continue to iterate through the datasets field on the corresponding responses.

All the usual ListDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListEvaluationJobsAsyncPager

A pager for iterating through list_evaluation_jobs requests.

This class thinly wraps an initial ListEvaluationJobsResponse object, and provides an __aiter__ method to iterate through its evaluation_jobs field.

If there are more pages, the __aiter__ method will make additional ListEvaluationJobs requests and continue to iterate through the evaluation_jobs field on the corresponding responses.

All the usual ListEvaluationJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListEvaluationJobsPager

A pager for iterating through list_evaluation_jobs requests.

This class thinly wraps an initial ListEvaluationJobsResponse object, and provides an __iter__ method to iterate through its evaluation_jobs field.

If there are more pages, the __iter__ method will make additional ListEvaluationJobs requests and continue to iterate through the evaluation_jobs field on the corresponding responses.

All the usual ListEvaluationJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListExamplesAsyncPager

A pager for iterating through list_examples requests.

This class thinly wraps an initial ListExamplesResponse object, and provides an __aiter__ method to iterate through its examples field.

If there are more pages, the __aiter__ method will make additional ListExamples requests and continue to iterate through the examples field on the corresponding responses.

All the usual ListExamplesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListExamplesPager

A pager for iterating through list_examples requests.

This class thinly wraps an initial ListExamplesResponse object, and provides an __iter__ method to iterate through its examples field.

If there are more pages, the __iter__ method will make additional ListExamples requests and continue to iterate through the examples field on the corresponding responses.

All the usual ListExamplesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListInstructionsAsyncPager

A pager for iterating through list_instructions requests.

This class thinly wraps an initial ListInstructionsResponse object, and provides an __aiter__ method to iterate through its instructions field.

If there are more pages, the __aiter__ method will make additional ListInstructions requests and continue to iterate through the instructions field on the corresponding responses.

All the usual ListInstructionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListInstructionsPager

A pager for iterating through list_instructions requests.

This class thinly wraps an initial ListInstructionsResponse object, and provides an __iter__ method to iterate through its instructions field.

If there are more pages, the __iter__ method will make additional ListInstructions requests and continue to iterate through the instructions field on the corresponding responses.

All the usual ListInstructionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SearchEvaluationsAsyncPager

A pager for iterating through search_evaluations requests.

This class thinly wraps an initial SearchEvaluationsResponse object, and provides an __aiter__ method to iterate through its evaluations field.

If there are more pages, the __aiter__ method will make additional SearchEvaluations requests and continue to iterate through the evaluations field on the corresponding responses.

All the usual SearchEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SearchEvaluationsPager

A pager for iterating through search_evaluations requests.

This class thinly wraps an initial SearchEvaluationsResponse object, and provides an __iter__ method to iterate through its evaluations field.

If there are more pages, the __iter__ method will make additional SearchEvaluations requests and continue to iterate through the evaluations field on the corresponding responses.

All the usual SearchEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SearchExampleComparisonsAsyncPager

A pager for iterating through search_example_comparisons requests.

This class thinly wraps an initial SearchExampleComparisonsResponse object, and provides an __aiter__ method to iterate through its example_comparisons field.

If there are more pages, the __aiter__ method will make additional SearchExampleComparisons requests and continue to iterate through the example_comparisons field on the corresponding responses.

All the usual SearchExampleComparisonsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SearchExampleComparisonsPager

A pager for iterating through search_example_comparisons requests.

This class thinly wraps an initial SearchExampleComparisonsResponse object, and provides an __iter__ method to iterate through its example_comparisons field.

If there are more pages, the __iter__ method will make additional SearchExampleComparisons requests and continue to iterate through the example_comparisons field on the corresponding responses.

All the usual SearchExampleComparisonsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

AnnotatedDataset

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.

AnnotatedDatasetMetadata

Metadata on AnnotatedDataset.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Annotation

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.

AnnotationMetadata

Additional information associated with the annotation.

AnnotationSentiment

AnnotationSource

Specifies where the annotation comes from (whether it was provided by a human labeler or a different source).

AnnotationSpec

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.

AnnotationSpecSet

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.

AnnotationType

AnnotationValue

Annotation value for an example.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attempt

Records a failed evaluation job run.

BigQuerySource

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.

BoundingBoxEvaluationOptions

Options regarding evaluation between bounding boxes.

BoundingPoly

A bounding polygon in the image.

BoundingPolyConfig

Config for image bounding poly (and bounding box) human labeling task.

ClassificationMetadata

Metadata for classification annotations.

ClassificationMetrics

Metrics calculated for a classification model.

ConfusionMatrix

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.

ConfusionMatrixEntry

Row

A row in the confusion matrix. Each entry in this row has the same ground truth label.

CreateAnnotationSpecSetRequest

Request message for CreateAnnotationSpecSet.

CreateDatasetRequest

Request message for CreateDataset.

CreateEvaluationJobRequest

Request message for CreateEvaluationJob.

CreateInstructionMetadata

Metadata of a CreateInstruction operation.

CreateInstructionRequest

Request message for CreateInstruction.

CsvInstruction

Deprecated: this instruction format is not supported any more. Instruction from a CSV file.

DataItem

DataItem is a piece of data, without annotation. For example, an image.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

DataType

Dataset

Dataset is the resource to hold your data. You can request multiple labeling tasks for a dataset while each one will generate an AnnotatedDataset.

DeleteAnnotatedDatasetRequest

Request message for DeleteAnnotatedDataset.

DeleteAnnotationSpecSetRequest

Request message for DeleteAnnotationSpecSet.

DeleteDatasetRequest

Request message for DeleteDataset.

DeleteEvaluationJobRequest

Request message DeleteEvaluationJob.

DeleteInstructionRequest

Request message for DeleteInstruction.

Evaluation

Describes an evaluation between a machine learning model's predictions and ground truth labels. Created when an EvaluationJob runs successfully.

EvaluationConfig

Configuration details used for calculating evaluation metrics and creating an Evaluation.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

EvaluationJob

Defines an evaluation job that runs periodically to generate Evaluations. Creating an evaluation job </ml-engine/docs/continuous-evaluation/create-job>__ is the starting point for using continuous evaluation.

State

State of the job.

    When the job is in this state, it samples prediction input
    and output from your model version into your BigQuery table
    as predictions occur.
RUNNING (2):
    The job is currently running. When the job runs, Data
    Labeling Service does several things:

    1. If you have configured your job to use Data Labeling
       Service for ground truth labeling, the service creates a
       <xref uid="google.cloud.datalabeling.v1beta1.Dataset">Dataset</xref> and
       a labeling task for all data sampled since the last time
       the job ran. Human labelers provide ground truth labels
       for your data. Human labeling may take hours, or even
       days, depending on how much data has been sampled. The
       job remains in the `RUNNING` state during this time,
       and it can even be running multiple times in parallel if
       it gets triggered again (for example 24 hours later)
       before the earlier run has completed. When human labelers
       have finished labeling the data, the next step occurs. If
       you have configured your job to provide your own ground
       truth labels, Data Labeling Service still creates a
       <xref uid="google.cloud.datalabeling.v1beta1.Dataset">Dataset</xref> for
       newly sampled data, but it expects that you have already
       added ground truth labels to the BigQuery table by this
       time. The next step occurs immediately.

    2. Data Labeling Service creates an
       <xref uid="google.cloud.datalabeling.v1beta1.Evaluation">Evaluation</xref>
       by comparing your model version's predictions with the
       ground truth labels.

    If the job remains in this state for a long time, it
    continues to sample prediction data into your BigQuery table
    and will run again at the next interval, even if it causes
    the job to run multiple times in parallel.
PAUSED (3):
    The job is not sampling prediction input and output into
    your BigQuery table and it will not run according to its
    schedule. You can
    <xref uid="google.cloud.datalabeling.v1beta1.DataLabelingService.ResumeEvaluationJob">resume</xref>
    the job.
STOPPED (4):
    The job has this state right before it is
    deleted.

EvaluationJobAlertConfig

Provides details for how an evaluation job sends email alerts based on the results of a run.

EvaluationJobConfig

Configures specific details of how a continuous evaluation job works. Provide this configuration when you create an EvaluationJob.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

BigqueryImportKeysEntry

The abstract base class for a message.

EvaluationMetrics

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

EventConfig

Config for video event human labeling task.

Example

An Example is a piece of data and its annotation. For example, an image with label "house".

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ExportDataOperationMetadata

Metadata of an ExportData operation.

ExportDataOperationResponse

Response used for ExportDataset longrunning operation.

ExportDataRequest

Request message for ExportData API.

GcsDestination

Export destination of the data.Only gcs path is allowed in output_uri.

GcsFolderDestination

Export folder destination of the data.

GcsSource

Source of the Cloud Storage file to be imported.

GetAnnotatedDatasetRequest

Request message for GetAnnotatedDataset.

GetAnnotationSpecSetRequest

Request message for GetAnnotationSpecSet.

GetDataItemRequest

Request message for GetDataItem.

GetDatasetRequest

Request message for GetDataSet.

GetEvaluationJobRequest

Request message for GetEvaluationJob.

GetEvaluationRequest

Request message for GetEvaluation.

GetExampleRequest

Request message for GetExample

GetInstructionRequest

Request message for GetInstruction.

HumanAnnotationConfig

Configuration for how human labeling task should be done.

ImageBoundingPolyAnnotation

Image bounding poly annotation. It represents a polygon including bounding box in the image.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ImageClassificationAnnotation

Image classification annotation definition.

ImageClassificationConfig

Config for image classification human labeling task.

ImagePayload

Container of information about an image.

ImagePolylineAnnotation

A polyline for the image annotation.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ImageSegmentationAnnotation

Image segmentation annotation.

AnnotationColorsEntry

The abstract base class for a message.

ImportDataOperationMetadata

Metadata of an ImportData operation.

ImportDataOperationResponse

Response used for ImportData longrunning operation.

ImportDataRequest

Request message for ImportData API.

InputConfig

The configuration of input data, including data type, location, etc.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Instruction

Instruction of how to perform the labeling task for human operators. Currently only PDF instruction is supported.

LabelImageBoundingBoxOperationMetadata

Details of a LabelImageBoundingBox operation metadata.

LabelImageBoundingPolyOperationMetadata

Details of LabelImageBoundingPoly operation metadata.

LabelImageClassificationOperationMetadata

Metadata of a LabelImageClassification operation.

LabelImageOrientedBoundingBoxOperationMetadata

Details of a LabelImageOrientedBoundingBox operation metadata.

LabelImagePolylineOperationMetadata

Details of LabelImagePolyline operation metadata.

LabelImageRequest

Request message for starting an image labeling task.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Feature

Image labeling task feature.

LabelImageSegmentationOperationMetadata

Details of a LabelImageSegmentation operation metadata.

LabelOperationMetadata

Metadata of a labeling operation, such as LabelImage or LabelVideo. Next tag: 20

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

LabelStats

Statistics about annotation specs.

ExampleCountEntry

The abstract base class for a message.

LabelTextClassificationOperationMetadata

Details of a LabelTextClassification operation metadata.

LabelTextEntityExtractionOperationMetadata

Details of a LabelTextEntityExtraction operation metadata.

LabelTextRequest

Request message for LabelText.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Feature

Text labeling task feature.

LabelVideoClassificationOperationMetadata

Details of a LabelVideoClassification operation metadata.

LabelVideoEventOperationMetadata

Details of a LabelVideoEvent operation metadata.

LabelVideoObjectDetectionOperationMetadata

Details of a LabelVideoObjectDetection operation metadata.

LabelVideoObjectTrackingOperationMetadata

Details of a LabelVideoObjectTracking operation metadata.

LabelVideoRequest

Request message for LabelVideo.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Feature

Video labeling task feature.

ListAnnotatedDatasetsRequest

Request message for ListAnnotatedDatasets.

ListAnnotatedDatasetsResponse

Results of listing annotated datasets for a dataset.

ListAnnotationSpecSetsRequest

Request message for ListAnnotationSpecSets.

ListAnnotationSpecSetsResponse

Results of listing annotation spec set under a project.

ListDataItemsRequest

Request message for ListDataItems.

ListDataItemsResponse

Results of listing data items in a dataset.

ListDatasetsRequest

Request message for ListDataset.

ListDatasetsResponse

Results of listing datasets within a project.

ListEvaluationJobsRequest

Request message for ListEvaluationJobs.

ListEvaluationJobsResponse

Results for listing evaluation jobs.

ListExamplesRequest

Request message for ListExamples.

ListExamplesResponse

Results of listing Examples in and annotated dataset.

ListInstructionsRequest

Request message for ListInstructions.

ListInstructionsResponse

Results of listing instructions under a project.

NormalizedBoundingPoly

Normalized bounding polygon.

NormalizedPolyline

Normalized polyline.

NormalizedVertex

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.

ObjectDetectionConfig

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.

ObjectDetectionMetrics

Metrics calculated for an image object detection (bounding box) model.

ObjectTrackingConfig

Config for video object tracking human labeling task.

ObjectTrackingFrame

Video frame level annotation for object detection and tracking.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

OperatorMetadata

General information useful for labels coming from contributors.

OutputConfig

The configuration of output data.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

PauseEvaluationJobRequest

Request message for PauseEvaluationJob.

PdfInstruction

Instruction from a PDF file.

Polyline

A line with multiple line segments.

PolylineConfig

Config for image polyline human labeling task.

PrCurve

ConfidenceMetricsEntry

ResumeEvaluationJobRequest

Request message ResumeEvaluationJob.

SearchEvaluationsRequest

Request message for SearchEvaluation.

SearchEvaluationsResponse

Results of searching evaluations.

SearchExampleComparisonsRequest

Request message of SearchExampleComparisons.

SearchExampleComparisonsResponse

Results of searching example comparisons.

ExampleComparison

Example comparisons comparing ground truth output and predictions for a specific input.

SegmentationConfig

Config for image segmentation

SentimentConfig

Config for setting up sentiments.

SequentialSegment

Start and end position in a sequence (e.g. text segment).

StringAggregationType

TextClassificationAnnotation

Text classification annotation.

TextClassificationConfig

Config for text classification human labeling task.

TextEntityExtractionAnnotation

Text entity extraction annotation.

TextEntityExtractionConfig

Config for text entity extraction human labeling task.

TextMetadata

Metadata for the text.

TextPayload

Container of information about a piece of text.

TimeSegment

A time period inside of an example that has a time dimension (e.g. video).

UpdateEvaluationJobRequest

Request message for UpdateEvaluationJob.

Vertex

A vertex represents a 2D point in the image. NOTE: the vertex coordinates are in the same scale as the original image.

VideoClassificationAnnotation

Video classification annotation.

VideoClassificationConfig

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.

AnnotationSpecSetConfig

Annotation spec set with the setting of allowing multi labels or not.

VideoEventAnnotation

Video event annotation.

VideoObjectTrackingAnnotation

Video object tracking annotation.

VideoPayload

Container of information of a video.

VideoThumbnail

Container of information of a video thumbnail.

Modules

pagers

API documentation for datalabeling_v1beta1.services.data_labeling_service.pagers module.