package Paws::Rekognition::DetectLabels; use Moose; has Image => (is => 'ro', isa => 'Paws::Rekognition::Image', required => 1); has MaxLabels => (is => 'ro', isa => 'Int'); has MinConfidence => (is => 'ro', isa => 'Num'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'DetectLabels'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Rekognition::DetectLabelsResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::DetectLabels - Arguments for method DetectLabels on L =head1 DESCRIPTION This class represents the parameters used for calling the method DetectLabels on the L service. Use the attributes of this class as arguments to method DetectLabels. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DetectLabels. =head1 SYNOPSIS my $rekognition = Paws->service('Rekognition'); # To detect labels # This operation detects labels in the supplied image my $DetectLabelsResponse = $rekognition->DetectLabels( 'Image' => { 'S3Object' => { 'Bucket' => 'mybucket', 'Name' => 'myphoto' } }, 'MaxLabels' => 123, 'MinConfidence' => 70 ); # Results: my $Labels = $DetectLabelsResponse->Labels; # 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 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 image bytes is not supported. Images stored in an S3 Bucket do not need to be base64-encoded. 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 MaxLabels => Int Maximum number of labels you want the service to return in the response. The service returns the specified number of highest confidence labels. =head2 MinConfidence => Num Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with confidence lower than this specified value. If C is not specified, the operation returns labels with a confidence values greater than or equal to 55 percent. =head1 SEE ALSO This class forms part of L, documenting arguments for method DetectLabels in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut