package Paws::Rekognition::DetectCustomLabels; use Moose; has Image => (is => 'ro', isa => 'Paws::Rekognition::Image', required => 1); has MaxResults => (is => 'ro', isa => 'Int'); has MinConfidence => (is => 'ro', isa => 'Num'); has ProjectVersionArn => (is => 'ro', isa => 'Str', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'DetectCustomLabels'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Rekognition::DetectCustomLabelsResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::DetectCustomLabels - Arguments for method DetectCustomLabels on L =head1 DESCRIPTION This class represents the parameters used for calling the method DetectCustomLabels on the L service. Use the attributes of this class as arguments to method DetectCustomLabels. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DetectCustomLabels. =head1 SYNOPSIS my $rekognition = Paws->service('Rekognition'); my $DetectCustomLabelsResponse = $rekognition->DetectCustomLabels( 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 }, ProjectVersionArn => 'MyProjectVersionArn', MaxResults => 1, # OPTIONAL MinConfidence => 1.0, # OPTIONAL ); # Results: my $CustomLabels = $DetectCustomLabelsResponse->CustomLabels; # 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 =head2 MaxResults => Int Maximum number of results you want the service to return in the response. The service returns the specified number of highest confidence labels ranked from highest confidence to lowest. =head2 MinConfidence => Num Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence lower than this specified value. If you specify a value of 0, all labels are return, regardless of the default thresholds that the model version applies. =head2 B ProjectVersionArn => Str The ARN of the model version that you want to use. =head1 SEE ALSO This class forms part of L, documenting arguments for method DetectCustomLabels in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut