rekognition_start_content_moderation: Starts asynchronous detection of inappropriate, unwanted, or...

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

Starts asynchronous detection of inappropriate, unwanted, or offensive content in a stored video

Description

Starts asynchronous detection of inappropriate, unwanted, or offensive content in a stored video. 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_start_content_moderation/ for full documentation.

Usage

rekognition_start_content_moderation(
  Video,
  MinConfidence = NULL,
  ClientRequestToken = NULL,
  NotificationChannel = NULL,
  JobTag = NULL
)

Arguments

Video	[required] The video in which you want to detect inappropriate, unwanted, or offensive content. The video must be stored in an Amazon S3 bucket.
MinConfidence	Specifies the minimum confidence that Amazon Rekognition must have in order to return a moderated content label. Confidence represents how certain Amazon Rekognition is that the moderated content is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition doesn't return any moderated content labels with a confidence level lower than this specified value. If you don't specify MinConfidence, get_content_moderation returns labels with confidence values greater than or equal to 50 percent.
ClientRequestToken	Idempotent token used to identify the start request. If you use the same token with multiple start_content_moderation requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.
NotificationChannel	The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the completion status of the content analysis to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy to access the topic.
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 JobTag to group related jobs and identify them in the completion notification.

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