segment-anything-model

Automate image segmentation and object detection with the Segment Anything Model.

4|Updated Apr 19, 2026

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

Ready to run

npx skills add https://github.com/ragnarokhaa/hermes --skill segment-anything-model-ragnarokhaa

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: segment-anything-model
Source: https://github.com/ragnarokhaa/hermes/tree/main/hermes-cerul-tech-news-package/hermes-cerul-tech-news-package/hermes-agent/skills/mlops/models/segment-anything
Command: npx skills add https://github.com/ragnarokhaa/hermes --skill segment-anything-model-ragnarokhaa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires segment-anything, transformers, torch, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of automating image segmentation and object extraction from any image, eliminating the need for manual annotation and speeding up data preparation for various AI tasks.

Core Features & Use Cases

Zero-shot Image Segmentation: Segment any object in images using points, boxes, or masks as prompts.
Automatic Mask Generation: Generate all object masks in an image automatically.
High Quality: Trained on 1.1 billion masks from 11 million images for accurate results.
Multiple Model Sizes: Offers different model sizes (ViT-B, ViT-L, ViT-H) to balance speed and accuracy.
Use Cases: Ideal for tasks like medical image analysis, autonomous vehicles, and video surveillance where accurate object detection and segmentation are critical.

Quick Start

Run the script 'segment_image.py' to segment an object in an image by clicking on its location.

Frequently Asked Questions about segment-anything-model

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

FAQPage Schema

How do I automate image segmentation and object extraction without manual annotation?▼

Automate image segmentation using the Segment Anything Model to generate object masks automatically. It eliminates manual annotation by extracting objects from images through zero-shot segmentation, using points, boxes, or masks as prompts to speed up data preparation.

Can I use the Segment Anything Model for zero-shot object detection in medical image analysis?▼

Yes, zero-shot object detection and segmentation using the Segment Anything Model is ideal for medical image analysis. It provides accurate object extraction by generating masks from prompts like points or boxes without requiring task-specific training data.

How do I generate all object masks in an image automatically using computer vision models?▼

Generate all object masks in an image automatically by running the Segment Anything Model. This computer vision approach produces high-quality segmentation masks for every object in the frame without needing manual prompts or annotations.

What's the best way to balance speed and accuracy for image segmentation at scale?▼

Balance speed and accuracy for image segmentation by selecting different Segment Anything Model sizes, specifically ViT-B, ViT-L, or ViT-H. These variations allow you to adjust the model size to meet the performance requirements of your computer vision pipeline.

Do I need torch and transformers to run zero-shot segmentation scripts?▼

Yes, you need torch and transformers to run zero-shot segmentation scripts using the Segment Anything Model. These dependencies are required to execute the automated image segmentation and object extraction processes within your environment.