# Segment Anything Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/segment-anything
> Markdown URL: https://aitinkerers.org/technologies/segment-anything.md
> Technology record last updated: 2026-03-04T17:52:59Z
> Generated: 2026-10-25T00:57:06Z

Segment Anything Model (SAM): Meta's zero-shot foundation model for image segmentation, instantly generating high-quality masks from simple prompts.

Segment Anything (SA) is a groundbreaking computer vision project from Meta's FAIR lab, centered on the Segment Anything Model (SAM). SAM is a vision foundation model, trained on the massive SA-1B dataset (over 1.1 billion masks across 11 million images), enabling robust zero-shot generalization to new segmentation tasks. It operates on a 'promptable segmentation' principle: users provide input (a click, a bounding box, or text) and the model instantly outputs precise object masks (in ~50ms). This architecture separates the image encoder from the fast prompt encoder/mask decoder, allowing real-time interactive use and establishing a new benchmark for versatile, adaptable image analysis.

- Official technology site: https://segment-anything.com/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [SpatialSense](https://nyc.aitinkerers.org/talks/rsvp_dUz-ZlrZmg4)

- Event context: AI Tinkerers NYC March 2024 Meetup — 2024-03-27 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_dUz-ZlrZmg4

## Related Technologies

- [Depth Anything](https://aitinkerers.org/technologies/depth-anything) ([Markdown](https://aitinkerers.org/technologies/depth-anything.md)) — 2 public demos
- [Qualcomm Snapdragon](https://aitinkerers.org/technologies/qualcomm-snapdragon) ([Markdown](https://aitinkerers.org/technologies/qualcomm-snapdragon.md)) — 1 public demo
- [Recognize Anything](https://aitinkerers.org/technologies/recognize-anything) ([Markdown](https://aitinkerers.org/technologies/recognize-anything.md)) — 1 public demo