Class: Aws::Rekognition::Types::HumanLoopConfig

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-rekognition/lib/aws-sdk-rekognition/types.rb

Overview

Note:

When making an API call, you may pass HumanLoopConfig data as a hash:

{
  human_loop_name: "HumanLoopName", # required
  flow_definition_arn: "FlowDefinitionArn", # required
  data_attributes: {
    content_classifiers: ["FreeOfPersonallyIdentifiableInformation"], # accepts FreeOfPersonallyIdentifiableInformation, FreeOfAdultContent
  },
}

Sets up the flow definition the image will be sent to if one of the conditions is met. You can also set certain attributes of the image before review.

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#data_attributes ⇒ Types::HumanLoopDataAttributes

Sets attributes of the input data.

Returns:



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# File 'gems/aws-sdk-rekognition/lib/aws-sdk-rekognition/types.rb', line 3409

class HumanLoopConfig < Struct.new(
  :human_loop_name,
  :flow_definition_arn,
  :data_attributes)
  SENSITIVE = []
  include Aws::Structure
end

#flow_definition_arn ⇒ String

The Amazon Resource Name (ARN) of the flow definition. You can create a flow definition by using the Amazon Sagemaker CreateFlowDefinition Operation.

Returns:

  • (String) 


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# File 'gems/aws-sdk-rekognition/lib/aws-sdk-rekognition/types.rb', line 3409

class HumanLoopConfig < Struct.new(
  :human_loop_name,
  :flow_definition_arn,
  :data_attributes)
  SENSITIVE = []
  include Aws::Structure
end

#human_loop_name ⇒ String

The name of the human review used for this image. This should be kept unique within a region.

Returns:

  • (String) 


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# File 'gems/aws-sdk-rekognition/lib/aws-sdk-rekognition/types.rb', line 3409

class HumanLoopConfig < Struct.new(
  :human_loop_name,
  :flow_definition_arn,
  :data_attributes)
  SENSITIVE = []
  include Aws::Structure
end