segment-anything-model

Segment objects in images using the Segment Anything Model with point, box, or mask prompts.

Updated May 8, 2026

Search Tags:#computer vision #object detection #image segmentation #zero-shot segmentation #segment anything model

Ready to run

npx skills add https://github.com/gztcode/my-skills --skill segment-anything-model-gztcode

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: segment-anything-model
Source: https://github.com/gztcode/my-skills/tree/main/segment-anything-model
Command: npx skills add https://github.com/gztcode/my-skills --skill segment-anything-model-gztcode

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires segment-anything, transformers>=4.30.0, torch>=1.7.0, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The segment-anything-model Skill solves the problem of accurately segmenting any object in images, making it easier to isolate and analyze specific parts of an image for various applications.

Core Features & Use Cases

Zero-Shot Segmentation: Segment any object in images without task-specific training.
Flexible Prompts: Use points, bounding boxes, or masks as prompts to define regions of interest.
Automatic Segmentation: Automatically generate all object masks in an image.
Use Cases: Ideal for object detection, segmentation, and analysis tasks in medical imaging, satellite imagery, and more.

Quick Start

Use the segment-anything-model skill to segment the object at point coordinates (100, 150) in the attached image 'example.jpg'.

Frequently Asked Questions about segment-anything-model

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform zero-shot image segmentation on medical or satellite images?▼

Zero-shot image segmentation on medical or satellite images is achieved using the Segment Anything Model to isolate objects without task-specific training. You can define regions of interest using point coordinates, bounding boxes, or masks as prompts.

Can I automatically generate all object masks in an image without providing prompts?▼

Automatic image segmentation allows you to generate all object masks in an image without providing explicit prompts. The Segment Anything Model processes the entire input image to identify and isolate every distinct object automatically.

Do I need PyTorch and Transformers installed to run the Segment Anything Model?▼

Running the Segment Anything Model requires PyTorch version 1.7.0 or higher and Transformers version 4.30.0 or higher. You also need the specific segment-anything library installed to execute the model and perform image segmentation tasks.

What is the best way to segment a specific object in an image using point coordinates?▼

The best way to segment a specific object using point coordinates is providing those coordinates as a prompt to the Segment Anything Model. This zero-shot segmentation approach isolates the target region accurately without requiring task-specific training data.

Does the Segment Anything Model support semantic segmentation for domain-specific imaging?▼

The Segment Anything Model supports semantic segmentation and applies directly to domain-specific imaging tasks. It handles zero-shot object detection and segmentation for specialized fields like medical imaging and satellite imagery analysis.