The GH-ESD framework identifies systematic failures in instance-level vision tasks like object detection. Unlike previous methods that rely on simple clusters, this approach targets contextual and spatial visual patterns. Apple researchers developed the tool to uncover specific error slices. This allows developers to pinpoint and fix precise robustness gaps in segmentation models.