class Aws::Rekognition::Types::DetectModerationLabelsRequest

@note When making an API call, you may pass DetectModerationLabelsRequest

data as a 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
        },
      },
    }

@!attribute [rw] 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.
@return [Types::Image]

@!attribute [rw] min_confidence

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.
@return [Float]

@!attribute [rw] human_loop_config

Sets up the configuration for human evaluation, including the
FlowDefinition the image will be sent to.
@return [Types::HumanLoopConfig]

Constants

SENSITIVE