# Segment Anything（SAM）

- Category: Models & resources
- Official site: https://segment-anything.com/
- HTML: https://www.88z.ai/en/tools/segment-anything-sam
- Markdown: https://www.88z.ai/en/tools/segment-anything-sam.md

The Segment Anything Model (SAM) is a foundation model developed by Meta AI, designed to address image segmentation tasks.

## What is Segment Anything（SAM）?

The Segment Anything Model (SAM) is a foundation model developed by Meta AI, designed to address image segmentation tasks.With strong zero-shot transfer capabilities, SAM can quickly identify and segment any object in an image based on prompts such as points, boxes, or text, without requiring additional training on specific datasets.

As the core of the 'Segment Anything' project, SAM offers flexible interactive interfaces and efficient inference speed.It can be used independently or as a component for other computer vision tasks, providing a general-purpose segmentation solution for content creation, data annotation, and medical image analysis.For more technical details, please refer to the official website.

## Key features

- **Zero-Shot Genera**：Achieves high-quality segmentation on unseen data without fine-tuning for specific objects or scenarios.
- **Multi-Prompt Int**：Supports guiding the model to generate segmentation masks via click points, bounding boxes, or text prompts.
- **Real-Time Perfor**：Optimized architecture allows for fast inference on standard hardware, meeting interactive application needs.
- **High-Resolution**：Capable of processing high-resolution images while maintaining accuracy and integrity of edge details.
- **Open Ecosystem**：Provides pre-trained model weights and codebases, facilitating developer integration into local workflows.

## How to use it

1. Visit the Meta AI Demos or official project page to try the online demo.
2. Upload the image file you wish to process.
3. Click inside or outside the object, or draw a bounding box as a prompt.
4. View the segmentation mask results generated by the model in real-time.
5. For local deployment, download pre-trained models and code from the official repository.

## Where it fits

- **Accelerated Data**：Assists humans in quickly generating segmentation labels for large-scale image datasets, reducing annotation costs.
- **Creative Editing**：Precisely selects objects in design software for background replacement, effect addition, or asset extraction.
- **Scientific Image**：Applied to microscope images or satellite remote sensing maps to automatically identify cells, vegetation, or building structures.

## Pricing and free quota

Pricing follows the official site

## Who it is for

- Computer Vision Researchers
- AI Application Developers
- Digital Content Creators
- Data Annotation Teams

## FAQ

### Does SAM require training on my data?

No.SAM is a zero-shot model that can be used directly to segment unseen objects without additional training.

### What types of prompt inputs are supported?

It supports foreground/background points, bounding boxes, and mask prompts; some versions also support text prompts.

### Can I use SAM commercially?

Please check the license files released officially for specific terms; research use is typically open.

## Tags

Image Segmentation · Meta AI · Foundation Model

Features, pricing and availability follow the official site. Except for 88z.ai’s own API pages, this is a third-party product; 88z.ai only provides a directory introduction.