X-AnyLabeling-Server

CVHub520AGPL-3.0活跃维护

为 X-AnyLabeling 标注工具提供轻量可扩展的模型推理服务，把检测、分割、分类、姿态等视觉模型接成后端，方便标注时自动预标注。

A Simple, Lightweight, and Extensible Serving Framework for X-AnyLabeling

v0.0.15发布于 2026-11-04 17:13 UTC336star +1 / 7 天57fork同步于 2026-11-10 12:01 UTC

自动标注模型推理服务目标检测实例分割视觉标注

对比 GitHub 官网 annotation-tool clip computer-vision deep-learning grounding-dino

怎么上手

由 README 提炼，执行前请确认

原文

README 未给出安装命令，详见 docs/source/en/get_started.md

硬件要求按 README 说明

README 未说明

下载：源码 zip·GitHub Releases（安装包）本站不镜像安装包

项目说明

由 README 自动翻译提炼

没人工点评？写下你的经验

为 X-AnyLabeling 提供轻量可扩展的模型推理服务框架，让自动标注模型快速上线

为 X-AnyLabeling 标注工具提供轻量可扩展的模型推理服务，把检测、分割、分类、姿态等视觉模型接成后端，方便标注时自动预标注。

核心能力

框架与模型实现解耦，只管服务管理与资源调度
插件式架构，不改核心代码即可接入自定义模型
内置结构化日志、错误处理、并发控制与安全认证
所有参数可配置且带合理默认值，适配不同部署场景

容易踩的坑

README 未给出安装步骤，需先查阅 get_started.md 文档；需配合 X-AnyLabeling 客户端使用，模型需自行按插件方式接入

内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README

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README 原文

未翻译

在 GitHub 打开

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

Contributing

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

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}}
}

X-AnyLabeling-Server

怎么上手

项目说明