facebookresearch/sam3

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11487 stars · 1739 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Official code for Meta's Segment Anything Model 3 (SAM 3), a unified foundation model for promptable segmentation in images and videos. It supports inference and fine-tuning, model checkpoint downloads, and example notebooks, adding open-vocabulary concept-based segmentation of all object instances via text or visual prompts.

Use cases

• segment all instances of an object described by a text phrase in an image
• segment and track objects across video frames
• segment objects using point, box, or mask prompts
• fine-tune SAM 3 on custom segmentation data
• download and run SAM 3 checkpoints for inference
• build open-vocabulary detection and segmentation pipelines

When to choose

• you need state-of-the-art promptable image or video segmentation
• you want to segment every instance of an open-vocabulary concept from a text prompt
• you need a foundation segmentation model to fine-tune on your own data
• you want official checkpoints and example notebooks from Meta

When to avoid

• you need a permissively licensed model for commercial redistribution without restrictions (SAM license applies)
• you need lightweight real-time segmentation on CPU-only devices
• you only need simple classic image segmentation without deep learning

Facets

library · maturity active

machine-learning computer-vision image-processing video-processing sdk computer-vision image-processing machine-learning artificial-intelligence python cross-platform segment-anything promptable-segmentation open-vocabulary object-tracking foundation-model inference fine-tuning meta-ai video gpu

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