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RLHF combined with Sagemaker Ground Truth Plus for labeling capability to enhance accuray
Human-in-the-loop validation combines the efficiency of machine learning with human expertise to ensure high-quality labeled data. Amazon SageMaker Ground Truth Plus enables you to have human labelers validate and correct model predictions, which reduces errors in annotations and increases the accuracy of the training data. This is particularly useful when you need to generate accurate images or annotations for protective eyewear and want to ensure that the annotations are reliable.
Using Amazon SageMaker GroundTruth, human workforce to create label for the datasets which will help to get accuracy for the datasets.