segment-anything-model
Category: multimodal-and-emerging · License: MIT · Version: 1.0.0
Tags: Multimodal, Image Segmentation, Computer Vision, SAM, Zero-Shot
When to use it
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.Example requests
Ask your agent in plain language, for example:- “Can you click-segment the tumor in this ultrasound image for me? I’ve got a point on it.”
- “I’m working with ~400 SEM micrographs in ./sem_images/ (PNG, 2048x2048) and want per-particle masks for sizing. I ran SamAutomaticMaskGenerator with vit_h from sam_vit_h_4b8939.pth and got CUDA out of memory on a 12GB GPU. Small particles are also being missed. How do I fix this?”
- “I need to cut out every individual cell from my fluorescence microscopy images without training anything, and then use the masks as labels to train a smaller model later. What’s a good approach?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole multimodal-and-emerging category with /plugin install multimodal-and-emerging@research-agent-skills.