Segment Anything

🤖 Plain-English Summary

We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation. We are releasing the Segment Anything Model (SAM) and corresponding dataset (SA-1B) of 1B masks and 11M images at segment-anything.com to foster research into foundation models for computer vision.

🔑 Key Findings

• Using our efficient model in a data collection loop, we built the largest segmentation dataset to date (by far), with over 1 billion masks on 11M licensed and privacy respecting images.
• The model is designed and trained to be promptable, so it can transfer zero-shot to new image distributions and tasks.
• We evaluate its capabilities on numerous tasks and find that its zero-shot performance is impressive – often competitive with or even superior to prior fully supervised results.

🔗 Related Resources