EdgeSAM is a PyTorch implementation of a prompt-in-the-loop distillation technique that compresses the Segment Anything Model for on-device deployment. It retains the full-image and point prompt capabilities of the original SAM while significantly reducing model size for mobile/edge inference. The project includes training code, evaluation tools, CoreML conversion, and powers the iOS app CutCha for real-time image segmentation.