rekognition_get_label_detection: Gets the label detection results of a Amazon Rekognition...

View source: R/rekognition_operations.R

rekognition_get_label_detectionR Documentation

Gets the label detection results of a Amazon Rekognition Video analysis started by StartLabelDetection

Description

Gets the label detection results of a Amazon Rekognition Video analysis started by start_label_detection.

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

Usage

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

Arguments

JobId

[required] Job identifier for the label detection operation for which you want results returned. You get the job identifer from an initial call to StartlabelDetection.

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 are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels.

SortBy

Sort to use for elements in the Labels 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 the returned results. Results can be aggregated by timestamps or segments.


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