CVHub520/X-AnyLabeling-Server

About

X-AnyLabeling-Server is a simple, lightweight and extensible serving framework for AI model inference, specifically designed for X-AnyLabeling. It provides a production-ready solution with pluggable architecture and flexible configuration for various auto-labeling scenarios. Its core features include:

• Decoupled Design: Framework handles service management and resource scheduling without interfering with model implementation details
• Pluggable Architecture: Rapidly integrate custom models without modifying core framework code
• Production Ready: Comprehensive structured logging, error handling, concurrency control, and security authentication
• Flexible Configuration: All parameters are configurable with sensible defaults, adaptable to different deployment scenarios

Getting Started

• Installation and Setup
• Configuration Guide
• Custom Model Integration
• API Guide
• OpenAPI Schema

Contributing

Contributions and collaborations are highly appreciated! For guidelines on how to contribute, please refer to Contributing to X-AnyLabeling-Server.

Sponsors

• buy-me-a-coffee
• Wechat/Alipay

Citing

If you use this software in your research, please cite it as below:

@misc{X-AnyLabeling-Server,
  year = {2025},
  author = {Wei Wang},
  publisher = {Github},
  organization = {CVHub},
  journal = {Github repository},
  title = {A Simple, Lightweight, and Extensible Serving Framework for X-AnyLabeling},
  howpublished = {\url{https://github.com/CVHub520/X-AnyLabeling-Server}}
}

@misc{X-AnyLabeling,
  year = {2023},
  author = {Wei Wang},
  publisher = {Github},
  organization = {CVHub},
  journal = {Github repository},
  title = {X-AnyLabeling: A Unified Desktop Platform for AI-Assisted Data Annotation
},
  howpublished = {\url{https://github.com/CVHub520/X-AnyLabeling}}
}

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