Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.
---
name: segment-anything-model
description: Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Multimodal, Image Segmentation, Computer Vision, SAM, Zero-Shot]
dependencies: [segment-anything, transformers>=4.30.0, torch>=1.7.0]
---
# 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:**… load the full skill through Skill Me