Segment Anything Model
Segment Anything Modelv1CurrentReleased April 5, 2023
Context1.0K tokens
Price (In / Out)Free / Free
Training CutoffSA-1B dataset release, 2023
CategoryVision Model
Max Output1 tokens
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
- Context Window
- 1,024 tokens
- Max Output Tokens
- 1 tokens
Tags
image-segmentationcomputer-visionfoundation-modelmeta-aiopen-sourceresearch-model
Benchmarks
Performance scores for Segment Anything Model across standard benchmarks.
SA-1B masks releasedofficial-repository · Apr 2023
1100000000%
Pricing
Token pricing for Segment Anything Model API usage.
Input Tokens
Free
per million tokens
Output Tokens
Free
per million tokens
Pricing Calculator
Input cost$0.00
Output cost$0.00
Estimated monthly cost$0.00
Open-source research model and checkpoints; no hosted API pricing is documented in the repository. Users pay their own compute costs.
Metatechnology company
Build the future of human connection and the technology that makes it possible
3 Tools6 ModelsFounded 2004Menlo Park, California, United States
View full profileTools by Meta
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