lillyguisnet/sam3-segmentation

75 stars · Last commit 2026-10-24

Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.

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# sam3-segmentation

[![Test](https://github.com/lillyguisnet/sam3-segmentation/actions/workflows/test.yml/badge.svg)](https://github.com/lillyguisnet/sam3-segmentation/actions/workflows/test.yml)
[![skills.sh](https://skills.sh/b/lillyguisnet/sam3-segmentation)](https://skills.sh/lillyguisnet/sam3-segmentation)

> This was mostly written by Opus 5.5 and not thoroughly checked by a human. It works on my machine, but haven't tested it elsewhere.

**An agent skill that outlines objects in photos with Meta's SAM 3, run on your
own NVIDIA GPU, and keeps everything it produces checkable.**

![Six agents on the same corn photo: kernel outlines drawn without tools (left half of each panel) and with this skill (right half)](docs/six-models/panel.jpg)

*Same six agents on the same corn photo, without tools (left half) and with this
skill (right half). Counts are each run's full set; nobody has checked these
outlines ([details](#does-it-work), [data](docs/six-models/record.json)). Photo:
ImageNet validation image ILSVRC2012_val_00000408; copyright belongs to its
original photographer and it is not covered by this repository's licence. It
will be removed on request.*

Ask your coding agent (Claude Code, Codex, Cursor, Pi, OpenCode and about 75

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