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segment-anything-model

Segment objects in images using point, box, or mask prompts.

228k|44.7k|Updated Jul 22, 2025
Search Tags:#computer vision#object detection#zero-shot#sam#image segmentation#mask generation
One-click install
npx skills add https://github.com/NousResearch/hermes-agent --skill segment-anything-model-nousresearch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: segment-anything-model
Source: https://github.com/NousResearch/hermes-agent/tree/main/skills/mlops/segment-anything
Command: npx skills add https://github.com/NousResearch/hermes-agent --skill segment-anything-model-nousresearch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires segment-anything, transformers, torch, opencv-python, pycocotools, matplotlib, onnxruntime, onnx, and includes references (resource) components.

What problem does it solve?

This Skill enables precise image segmentation for any object without requiring task-specific training, revolutionizing how we interact with visual data.

Core Features & Use Cases

  • Zero-Shot Segmentation: Segment objects based on simple prompts like points, boxes, or masks, even for novel categories.
  • Automatic Mask Generation: Automatically identify and mask all objects within an image.
  • Use Case: A designer needs to isolate a specific product from a lifestyle photo for a marketing campaign. They can use this Skill with a bounding box prompt to quickly generate a clean mask of the product.

Quick Start

Use the segment-anything-model skill to segment the object at point (500, 375) in the image 'image.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 novel objects?▼

Zero-shot image segmentation uses Meta AI's Segment Anything Model to segment novel objects from simple prompts like points, boxes, or masks without requiring task-specific training data.

Can I automatically generate masks for all objects in an image?▼

Yes, automatic mask generation identifies and masks all objects within an image. This facilitates interactive annotation and data augmentation for various computer vision tasks.

What prompts does the Segment Anything Model accept for isolating objects?▼

The Segment Anything Model accepts point coordinates, bounding boxes, or existing masks as prompts to interactively isolate and generate precise masks for specific objects.

Does zero-shot image segmentation work with OpenCV and PyTorch environments?▼

Yes, this zero-shot image segmentation operates within Python environments using PyTorch and OpenCV, leveraging ONNX runtime for flexible prompt encoding and mask decoding.

What are the limitations of using zero-shot segmentation for object detection?▼

While zero-shot segmentation excels at masking novel objects from prompts, it focuses strictly on mask generation and does not inherently classify the detected objects or replace dedicated object detection.

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