sam3-segmentation
From the author
Outline, mask, cut out or count objects in images with Meta's SAM 3 (Segment Anything Model 3), run locally on an NVIDIA GPU. Use when the user wants pixel masks or outlines of things in a photo, even without saying "segmentation" or "SAM": every instance of a phrase ("all the dogs"), one object from a click or box, automatic "segment everything", or careful, auditable annotation of many small objects or parts, such as corn kernels, seeds, cells, insects or leaves, with COCO RLE / PNG masks, review and a zoomable viewer. Prefer it to judging outlines, counts or object positions by eye. Includes first-time setup and a demo that needs no GPU. Outputs are model proposals, not verified ground truth. Not for classifying, captioning or editing images, video, medical scans, or customer and network segmentation.
Install
npx skills add lillyguisnet/sam3-segmentation --skill sam3-segmentation -a claude-code
Installs to .claude/skills/sam3-segmentation/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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