GetContentModerationRequest
¶
Source code in docs_src/capo_rekognition/types/get_content_moderation_request.py
aggregate_by
instance-attribute
¶
aggregate_by: NotRequired[ContentModerationAggregateBy]
Defines how to aggregate results of the StartContentModeration request. Default aggregation option is TIMESTAMPS. SEGMENTS mode aggregates moderation labels over time.
job_id
instance-attribute
¶
job_id: JobId
The identifier for the inappropriate, unwanted, or offensive content moderation job. Use JobId to identify the job in a subsequent call to GetContentModeration.
max_results
instance-attribute
¶
max_results: NotRequired[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.
next_token
instance-attribute
¶
next_token: NotRequired[PaginationToken]
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.
sort_by
instance-attribute
¶
sort_by: NotRequired[ContentModerationSortBy]
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.