Segment Anything Model
Meta's Segment Anything Model lets you segment objects in images without training on specific tasks, which is genuinely useful if you're building annotation tools or need to generate training data quickly. The skill supports point and box prompts for interactive segmentation and handles zero-shot transfer across different image domains, from medical scans to satellite imagery. It's originally from zechenzhangagi's AI research skills and has been forked into davila7's template collection with 364 installs so far. The main appeal is skipping the usual segmentation model training cycle when you need to work with new visual domains or build object detection pipelines fast.
- skills.sh installs
- 380
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill segment-anything-model --agent claude-codeInstalls into .claude/skills of the current project.
Files
Meta's Segment Anything Model lets you segment objects in images without training on specific tasks, which is genuinely useful if you're building annotation tools or need to generate training data quickly. The skill supports point and box prompts for interactive segmentation and handles zero-shot transfer across different image domains, from medical scans to satellite imagery. It's originally from zechenzhangagi's AI research skills and has been forked into davila7's template collection with 364 installs so far. The main appeal is skipping the usual segmentation model training cycle when you need to work with new visual domains or build object detection pipelines fast.
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- Repository
- github.com/davila7/claude-code-templates
- First seen
- Jun 3, 2026
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