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


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

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


    my $rekognition = Paws->service('Rekognition');
    my $GetFaceDetectionResponse = $rekognition->GetFaceDetection(
      JobId      => 'MyJobId',
      MaxResults => 1,                      # OPTIONAL
      NextToken  => 'MyPaginationToken',    # OPTIONAL

    # Results:
    my $Faces         = $GetFaceDetectionResponse->Faces;
    my $JobStatus     = $GetFaceDetectionResponse->JobStatus;
    my $NextToken     = $GetFaceDetectionResponse->NextToken;
    my $StatusMessage = $GetFaceDetectionResponse->StatusMessage;
    my $VideoMetadata = $GetFaceDetectionResponse->VideoMetadata;

    # Returns a L<Paws::Rekognition::GetFaceDetectionResponse> 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



Unique identifier for the face detection job. The JobId is returned from StartFaceDetection.

MaxResults => Int

Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

NextToken => Str

If the previous response was incomplete (because there are more faces to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.


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


The source code is located here:

Please report bugs to: