segment-anything-model Skill
SAM: zero-shot image segmentation via points, boxes, masks. Published by NousResearch in hermes-agent.
What is segment-anything-model Skill?
SAM: zero-shot image segmentation via points, boxes, masks. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Data analysis
- Design and media
- Deployment use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use segment-anything-model Skill
- Use it for deployment.
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: skills/mlops/models/segment-anything/SKILL.md
What it does
SAM: zero-shot image segmentation via points, boxes, masks.
Skill instructions
Segment Anything Model (SAM) Comprehensive guide to using Meta AI's Segment Anything Model for zero-shot image segmentation. When to use SAM Use SAM when: - Need to segment any object in images without task-specific training - Building interactive annotation tools with point/box prompts - Generating training data for other vision models - Need zero-shot transfer to new image domains - Building object detection/segmentation pipelines - Processing medical, satellite, or domain-specific images Key features: - Zero-shot segmentation: Works on any image domain without fine-tuning - Flexible prompts: Points, bounding boxes, or previous masks - Automatic segmentation: Generate all object masks automatically - High quality: Trained on 1.1 billion masks from 11 million images - Multiple model sizes: ViT-B (fastest), ViT-L, ViT-H (most accurate) - ONNX export: Deploy in browsers and edge devices Use alternatives instead: - YOLO/Detectron2: For real-time object detection with classes - Mask2Forme
Explore related resources
Frequently asked questions
What is segment-anything-model?
segment-anything-model is a open-source AI agent skill with Copy skill directory. SAM: zero-shot image segmentation via points, boxes, masks.
Who is segment-anything-model best for?
segment-anything-model is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows, design and media workflows.
How do I install segment-anything-model?
Install or run segment-anything-model using Copy skill directory. Check segment-anything-model for the latest setup command.
Is segment-anything-model actively maintained?
segment-anything-model may need a closer maintenance check before production use.
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