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SAM 3 / SAM 3D

SAM 3 / SAM 3D

A foundation model for promptable concept segmentation and 3D reconstruction from 2D images.

FreeResearch & Education Segmentation 3D Computer Vision

0 savesAdded 4/24/2026

• For computer vision researchers and 3D developers • Segments concepts in images/videos and reconstructs full 3D meshes • Provides high-fidelity object and human body estimations

About SAM 3 / SAM 3D

• Detects and segments open-vocabulary concepts using text or image prompts • Reconstructs shape, texture, and spatial layout from a single image • Features two specialized models: SAM 3D Objects and SAM 3D Body • Solves object tracking interference and 3D occlusion challenges

Key Features

• Segment objects using text noun phrases

• Reconstruct 3D Gaussian splats from images

• Track multiple objects in video in near real-time

• Estimate 3D human body pose and shape

How Many Free Generations/Credits

Unlimited (Self-hosted)

Signin Required

No

FAQ

1. Is it available in pip? Yes, via ultralytics.

2. Does it work on videos? Yes, includes a decoupled tracker.

3. Can it do 3D reconstruction? Yes, via the SAM 3D release.

Target Audience

AI ResearchersRobotics EngineersAR/VR Developers

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Quick Links

Official Website Documentation GitHub

Platform Support

Web

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