rekognition_get_content_moderation: Gets the inappropriate, unwanted, or offensive content...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

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.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.