Segment Anything Model
Segment Anything Modelv1CurrentReleased April 5, 2023
Context--
Training CutoffSA-1B dataset release, 2023
CategoryVision Model
About Segment Anything Model
Segment Anything Model (SAM) is Meta AI Research's promptable image segmentation foundation model for producing object masks from points, boxes, or other prompts in images. The public repository provides inference code, trained checkpoints, and example notebooks for using the model.
Capabilities
visionimage segmentationpromptable segmentationresearch
Input Modalities
imagepoint-promptbox-promptmask-prompt
Output Modalities
segmentation-mask
Technical Details
- API Identifier
- facebookresearch/segment-anything
- Category
- Vision Model
Tags
image-segmentationcomputer-visionfoundation-modelmeta-aiopen-sourceresearch-model
Pricing and access
Open-source research model and checkpoints; no hosted API pricing is documented in the repository. Users pay their own compute costs.
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Build the future of human connection and the technology that makes it possible
4 Tools8 ModelsFounded 2004Menlo Park, California, United States
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