Rekognition / Client / start_content_moderation

start_content_moderation#

Rekognition.Client.start_content_moderation(**kwargs)#

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.

Amazon Rekognition Video can moderate content in a video stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. StartContentModeration returns a job identifier ( JobId) which you use to get the results of the analysis. When content analysis is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in NotificationChannel.

To get the results of the content analysis, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetContentModeration and pass the job identifier ( JobId) from the initial call to StartContentModeration.

For more information, see Moderating content in the Amazon Rekognition Developer Guide.

See also: AWS API Documentation

Request Syntax

response = client.start_content_moderation(
    Video={
        'S3Object': {
            'Bucket': 'string',
            'Name': 'string',
            'Version': 'string'
        }
    },
    MinConfidence=...,
    ClientRequestToken='string',
    NotificationChannel={
        'SNSTopicArn': 'string',
        'RoleArn': 'string'
    },
    JobTag='string'
)
Parameters:

  • Video (dict) –

    [REQUIRED]

    The video in which you want to detect inappropriate, unwanted, or offensive content. The video must be stored in an Amazon S3 bucket.

    • S3Object (dict) –

      The Amazon S3 bucket name and file name for the video.

      • Bucket (string) –

        Name of the S3 bucket.

      • Name (string) –

        S3 object key name.

      • Version (string) –

        If the bucket is versioning enabled, you can specify the object version.

  • MinConfidence (float) – 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, GetContentModeration returns labels with confidence values greater than or equal to 50 percent.

  • ClientRequestToken (string) – Idempotent token used to identify the start request. If you use the same token with multiple StartContentModeration requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

  • NotificationChannel (dict) –

    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.

    • SNSTopicArn (string) – [REQUIRED]

      The Amazon SNS topic to which Amazon Rekognition posts the completion status.

    • RoleArn (string) – [REQUIRED]

      The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic.

  • JobTag (string) – 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.

Return type:

dict

Returns:

Response Syntax

{
    'JobId': 'string'
}

Response Structure

  • (dict) –

    • JobId (string) –

      The identifier for the content analysis job. Use JobId to identify the job in a subsequent call to GetContentModeration.

Exceptions