package Paws::Rekognition::DetectModerationLabels; use Moose; has HumanLoopConfig => (is => 'ro', isa => 'Paws::Rekognition::HumanLoopConfig'); has Image => (is => 'ro', isa => 'Paws::Rekognition::Image', required => 1); has MinConfidence => (is => 'ro', isa => 'Num'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'DetectModerationLabels'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Rekognition::DetectModerationLabelsResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::DetectModerationLabels - Arguments for method DetectModerationLabels on L =head1 DESCRIPTION This class represents the parameters used for calling the method DetectModerationLabels on the L 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. =head1 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 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 L =head1 ATTRIBUTES =head2 HumanLoopConfig => L Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to. =head2 B Image => L 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 C field. For more information, see Images in the Amazon Rekognition developer guide. =head2 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 C, the operation returns labels with confidence values greater than or equal to 50 percent. =head1 SEE ALSO This class forms part of L, documenting arguments for method DetectModerationLabels in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut