Rekognition / Paginator / ListDatasetLabels


class Rekognition.Paginator.ListDatasetLabels#
paginator = client.get_paginator('list_dataset_labels')

Creates an iterator that will paginate through responses from Rekognition.Client.list_dataset_labels().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
  • DatasetArn (string) –


    The Amazon Resource Name (ARN) of the dataset that you want to use.

  • PaginationConfig (dict) –

    A dictionary that provides parameters to control pagination.

    • MaxItems (integer) –

      The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.

    • PageSize (integer) –

      The size of each page.

    • StartingToken (string) –

      A token to specify where to start paginating. This is the NextToken from a previous response.

Return type:



Response Syntax

    'DatasetLabelDescriptions': [
            'LabelName': 'string',
            'LabelStats': {
                'EntryCount': 123,
                'BoundingBoxCount': 123


Response Structure

  • (dict) –

    • DatasetLabelDescriptions (list) –

      A list of the labels in the dataset.

      • (dict) –

        Describes a dataset label. For more information, see ListDatasetLabels.

        • LabelName (string) –

          The name of the label.

        • LabelStats (dict) –

          Statistics about the label.

          • EntryCount (integer) –

            The total number of images that use the label.

          • BoundingBoxCount (integer) –

            The total number of images that have the label assigned to a bounding box.