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Class: Aws::Rekognition::Types::DetectModerationLabelsRequest

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing DetectModerationLabelsRequest as input to an Aws::Client method, you can use a vanilla Hash:

{
  image: { # required
    bytes: "data",
    s3_object: {
      bucket: "S3Bucket",
      name: "S3ObjectName",
      version: "S3ObjectVersion",
    },
  },
  min_confidence: 1.0,
  human_loop_config: {
    human_loop_name: "HumanLoopName", # required
    flow_definition_arn: "FlowDefinitionArn", # required
    data_attributes: {
      content_classifiers: ["FreeOfPersonallyIdentifiableInformation"], # accepts FreeOfPersonallyIdentifiableInformation, FreeOfAdultContent
    },
  },
}

Instance Attribute Summary collapse

Instance Attribute Details

#human_loop_config ⇒ Types::HumanLoopConfig

Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.

Returns:

  • (Types::HumanLoopConfig) —

    Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.

#image ⇒ Types::Image

The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.

If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.

Returns:

  • (Types::Image) —

    The input image as base64-encoded bytes or an S3 object.

#min_confidence ⇒ Float

Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn\'t return any labels with a confidence level lower than this specified value.

If you don\'t specify MinConfidence, the operation returns labels with confidence values greater than or equal to 50 percent.

Returns:

  • (Float) —

    Specifies the minimum confidence level for the labels to return.