The Perl Toolchain Summit needs more sponsors. If your company depends on Perl, please support this very important event.

NAME

Paws::Rekognition::DetectModerationLabels - Arguments for method DetectModerationLabels on Paws::Rekognition

DESCRIPTION

This class represents the parameters used for calling the method DetectModerationLabels on the Amazon Rekognition service. Use the attributes of this class as arguments to method DetectModerationLabels.

You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DetectModerationLabels.

SYNOPSIS

    my $rekognition = Paws->service('Rekognition');
    my $DetectModerationLabelsResponse = $rekognition->DetectModerationLabels(
      Image => {
        Bytes    => 'BlobImageBlob',    # min: 1, max: 5242880; OPTIONAL
        S3Object => {
          Bucket  => 'MyS3Bucket',           # min: 3, max: 255; OPTIONAL
          Name    => 'MyS3ObjectName',       # min: 1, max: 1024; OPTIONAL
          Version => 'MyS3ObjectVersion',    # min: 1, max: 1024; OPTIONAL
        },    # OPTIONAL
      },
      HumanLoopConfig => {
        FlowDefinitionArn => 'MyFlowDefinitionArn',    # max: 256
        HumanLoopName     => 'MyHumanLoopName',        # min: 1, max: 63
        DataAttributes    => {
          ContentClassifiers => [
            'FreeOfPersonallyIdentifiableInformation',
            ... # values: FreeOfPersonallyIdentifiableInformation, FreeOfAdultContent
          ],    # max: 256; OPTIONAL
        },    # OPTIONAL
      },    # OPTIONAL
      MinConfidence => 1.0,    # OPTIONAL
    );

    # Results:
    my $HumanLoopActivationOutput =
      $DetectModerationLabelsResponse->HumanLoopActivationOutput;
    my $ModerationLabels = $DetectModerationLabelsResponse->ModerationLabels;
    my $ModerationModelVersion =
      $DetectModerationLabelsResponse->ModerationModelVersion;

    # Returns a L<Paws::Rekognition::DetectModerationLabelsResponse> object.

Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see https://docs.aws.amazon.com/goto/WebAPI/rekognition/DetectModerationLabels

ATTRIBUTES

HumanLoopConfig => Paws::Rekognition::HumanLoopConfig

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

REQUIRED Image => Paws::Rekognition::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.

MinConfidence => Num

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.

SEE ALSO

This class forms part of Paws, documenting arguments for method DetectModerationLabels in Paws::Rekognition

BUGS and CONTRIBUTIONS

The source code is located here: https://github.com/pplu/aws-sdk-perl

Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues