Struct rusoto_sagemaker::AnnotationConsolidationConfig

pub struct AnnotationConsolidationConfig {
    pub annotation_consolidation_lambda_arn: String,
}

Configures how labels are consolidated across human workers.

Fields

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.

Trait Implementations

impl PartialEq<AnnotationConsolidationConfig> for AnnotationConsolidationConfig

fn eq(&self, other: &AnnotationConsolidationConfig) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &AnnotationConsolidationConfig) -> bool

This method tests for !=.

impl Default for AnnotationConsolidationConfig

fn default() -> AnnotationConsolidationConfig

Returns the "default value" for a type.

impl Clone for AnnotationConsolidationConfig

fn clone(&self) -> AnnotationConsolidationConfig

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for AnnotationConsolidationConfig

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for AnnotationConsolidationConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl Serialize for AnnotationConsolidationConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.