Sponsored by
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facebook / sam3.1
Model's Last Updated: March 28 2026
mask-generation
Introduction of sam3.1
Model Details of sam3.1
SAM 3.1
SAM 3 (Segment Anything with Concepts) is a unified foundation model from Meta for promptable segmentation in images and videos. It detects, segments, and tracks objects using text or visual prompts such as points, boxes, and masks. SAM 3 introduces the ability to exhaustively segment all instances of an open-vocabulary concept specified by a short text phrase, handling over 50x more unique concepts than existing benchmarks. SAM 3.1 builds on this with Object Multiplex , a shared-memory approach for joint multi-object tracking that delivers ~7x faster inference at 128 objects on a single H100 GPU without sacrificing accuracy, along with improved VOS performance on 6 out of 7 benchmarks.
This repository hosts only the SAM 3.1 model checkpoints — there is no Hugging Face Transformers integration. For installation, code, usage examples, and full documentation, please visit the SAM 3 GitHub repository .
Runs of facebook sam3.1 on huggingface.co
63.9K
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More Information About sam3.1 huggingface.co Model
Url of sam3.1
sam3.1 huggingface.co Url
Provider of sam3.1 huggingface.co
Other API from facebook
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