Amazon SageMaker Ground Truth Adds Built-in Workflows for the Verification and Adjustment of Data Labels
Today, Amazon SageMaker Ground Truth launched built-in workflows for label verification and label adjustment. One way that ML practitioners have improved the accuracy of their labeled data is through using audit workflows. Audit workflows enable a group of reviewers to verify the accuracy of labels (a process called label verification) or adjust them (a process called label adjustment) if needed.
To use these new built-in workflows, you can chain an existing Amazon SageMaker Ground Truth labeling job into a verification or adjustment job, or you can easily import your existing labels for a verification or adjustment job. These features are supported for bounding boxes and semantic segmentation labels.
Learn more about this feature from our launch blog and documentation.