View source: R/rekognition_operations.R
rekognition_start_label_detection | R Documentation |
Starts asynchronous detection of labels in a stored video.
See https://www.paws-r-sdk.com/docs/rekognition_start_label_detection/ for full documentation.
rekognition_start_label_detection(
Video,
ClientRequestToken = NULL,
MinConfidence = NULL,
NotificationChannel = NULL,
JobTag = NULL,
Features = NULL,
Settings = NULL
)
Video |
[required] The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket. |
ClientRequestToken |
Idempotent token used to identify the start request. If you use the same
token with multiple
|
MinConfidence |
Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any labels with a confidence level lower than this specified value. If you don't specify |
NotificationChannel |
The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the label detection operation to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy. |
JobTag |
An identifier you specify that's returned in the completion notification
that's published to your Amazon Simple Notification Service topic. For
example, you can use |
Features |
The features to return after video analysis. You can specify that GENERAL_LABELS are returned. |
Settings |
The settings for a StartLabelDetection request.Contains the specified parameters for the label detection request of an asynchronous label analysis operation. Settings can include filters for GENERAL_LABELS. |
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