Class: Aws::SageMaker::Types::AnnotationConsolidationConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::AnnotationConsolidationConfig
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
When making an API call, you may pass AnnotationConsolidationConfig data as a hash:
{
annotation_consolidation_lambda_arn: "LambdaFunctionArn", # required
}
Configures how labels are consolidated across human workers.
Instance Attribute Summary collapse
-
#annotation_consolidation_lambda_arn ⇒ String
The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation.
Instance Attribute Details
#annotation_consolidation_lambda_arn ⇒ String
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].
[1]: docs.aws.amazon.com/sagemaker/latest/dg/sms-annotation-consolidation.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 511 class AnnotationConsolidationConfig < Struct.new( :annotation_consolidation_lambda_arn) include Aws::Structure end |