rekognition_get_content_moderation: Gets the inappropriate, unwanted, or offensive content analysis results for a Amazon Rekognition Video analysis started by StartContentModeration

Description

Gets the inappropriate, unwanted, or offensive content analysis results for a Amazon Rekognition Video analysis started by start_content_moderation. For a list of moderation labels in Amazon Rekognition, see Using the image and video moderation APIs.

See https://www.paws-r-sdk.com/docs/rekognition_get_content_moderation/ for full documentation.

Usage

rekognition_get_content_moderation(
  JobId,
  MaxResults = NULL,
  NextToken = NULL,
  SortBy = NULL,
  AggregateBy = NULL
)

Arguments

JobId: [required] The identifier for the inappropriate, unwanted, or offensive content moderation job. Use JobId to identify the job in a subsequent call to get_content_moderation.
MaxResults: Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
NextToken: If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of content moderation labels.
SortBy: Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.
AggregateBy: Defines how to aggregate results of the StartContentModeration request. Default aggregation option is TIMESTAMPS. SEGMENTS mode aggregates moderation labels over time.