NAME

Paws::SageMaker::AnnotationConsolidationConfig

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::SageMaker::AnnotationConsolidationConfig object:

  $service_obj->Method(Att1 => { AnnotationConsolidationLambdaArn => $value, ..., AnnotationConsolidationLambdaArn => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::AnnotationConsolidationConfig object:

  $result = $service_obj->Method(...);
  $result->Att1->AnnotationConsolidationLambdaArn

DESCRIPTION

Configures how labels are consolidated across human workers.

ATTRIBUTES

REQUIRED AnnotationConsolidationLambdaArn => Str

  The Amazon Resource Name (ARN) of a Lambda function implements the
logic for annotation consolidation.

For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions:

• Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox

  arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox

  arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox

  arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox

  arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox

• Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass

  arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass

  arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass

  arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass

  arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass

• Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation

  arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation

  arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation

  arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation

  arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation

• Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass

  arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass

  arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass

  arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass

  arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass

For more information, see Annotation Consolidation (http://docs.aws.amazon.com/sagemaker/latest/dg/sms-annotation-consolidation.html).

SEE ALSO

This class forms part of Paws, describing an object used in Paws::SageMaker

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