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segment-anything-model

Generates object masks from image and point, box, or mask prompts using ViT-B/L/H models and ONNX deployment.

Updated Apr 27, 2026
Search Tags:#multimodal#prompting#zero-shot#computer-vision#image-segmentation#segment-anything
One-click install
npx skills add https://github.com/AissenLiu/EasyHermes --skill segment-anything-model-aissenliu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: segment-anything-model
Source: https://github.com/AissenLiu/EasyHermes/tree/main/hermes-agent/skills/mlops/models/segment-anything
Command: npx skills add https://github.com/AissenLiu/EasyHermes --skill segment-anything-model-aissenliu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Segment Anything enables zero-shot image segmentation by producing masks for any object without task-specific training, accelerating annotation, data labeling, and downstream CV pipelines.

Core Features & Use Cases

  • Zero-shot prompts: points, boxes, or masks drive segmentation across diverse images.
  • Variable model sizes and export options: supports ViT-B/L/H and ONNX deployment for flexible environments; suitable for interactive tools, data curation, medical or satellite imagery workflows.
  • Use cases include annotation tools, dataset generation, and automated object extraction for training data.

Quick Start

Provide an image and prompts to initiate segmentation and obtain object masks with SAM.

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 without task-specific training data?▼

Zero-shot image segmentation generates object masks directly from prompts like points or boxes, bypassing the need for task-specific training to accelerate annotation and data labeling pipelines.

Can I use ONNX to deploy image segmentation models across different platforms?▼

Yes, you can export the Segment Anything Model to ONNX for cross-platform deployment, enabling flexible integration of zero-shot image segmentation across diverse environments and interactive tools.

What prompts does the Segment Anything Model support for extracting objects from images?▼

The Segment Anything Model supports zero-shot prompts using points, boxes, or masks to drive image segmentation, allowing you to extract object masks from diverse images without task-specific training.

How do I integrate zero-shot image segmentation into an end-to-end computer vision pipeline?▼

You can integrate zero-shot image segmentation by providing an image and prompts to initiate mask generation, then exporting the resulting masks via ONNX to connect with downstream annotation or data curation workflows.

Which model sizes are available for the Segment Anything Model?▼

The Segment Anything Model offers variable model sizes including ViT-B, ViT-L, and ViT-H, allowing you to balance performance and resource constraints when performing zero-shot image segmentation.

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