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  "name": "Segment Anything (SAM)",
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      "summary": "The original SAM image-segmentation model extracts masks from point or box prompts, or automatically segments an image."
    }
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  "introduction": "Segment Anything is Meta's image-segmentation model, using prompts such as points and boxes to identify regions. It produces object masks, and the official code also provides automatic mask generation. Inference code, model weights and example notebooks support integration into custom image-processing workflows.",
  "capabilities": [],
  "company": {
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    "originalName": "Meta AI Research, FAIR",
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  "profileUpdatedOn": "2026-10-20",
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      "url": "https://github.com/facebookresearch/segment-anything/blob/main/notebooks/predictor_example.ipynb"
    },
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    }
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    "interactive": "products/segment-anything-sam--b542.html",
    "reading": "read/en/products/segment-anything-sam--b542.html",
    "markdown": "read/en/products/segment-anything-sam--b542.md",
    "json": "read/en/products/segment-anything-sam--b542.json"
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}