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
Contributions and collaborations are highly appreciated! For guidelines on how to contribute, please refer to Contributing to X-AnyLabeling-Server.
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 = {Advanced Auto Labeling Solution with Added Features},
howpublished = {\url{https://github.com/CVHub520/X-AnyLabeling}}
}