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HumanLoopConfig

Used by
Source code in docs_src/capo_rekognition/types/human_loop_config.py 
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class HumanLoopConfig(TypedDict, closed=True):
    human_loop_name: "capo_rekognition.types.human_loop_name.HumanLoopName"
    """<p>The name of the human review used for this image. This should be kept unique within a region.</p>"""
    flow_definition_arn: "capo_rekognition.types.flow_definition_arn.FlowDefinitionArn"
    """<p>The Amazon Resource Name (ARN) of the flow definition. You can create a flow definition by using the Amazon Sagemaker <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateFlowDefinition.html">CreateFlowDefinition</a> Operation. </p>"""
    data_attributes: NotRequired[
        "capo_rekognition.types.human_loop_data_attributes.HumanLoopDataAttributes"
    ]
    """<p>Sets attributes of the input data.</p>"""

data_attributes instance-attribute 

data_attributes: NotRequired[HumanLoopDataAttributes]

Sets attributes of the input data.

flow_definition_arn instance-attribute 

flow_definition_arn: FlowDefinitionArn

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

human_loop_name instance-attribute 

human_loop_name: HumanLoopName

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