v4.0.1

build-with-groq/g1v4.0.1Aug 8, 2026by github-actions[bot]

AI Summary

X-AnyLabeling v4.0.1 enhances polygon creation with a configurable Magic Wand tool and resolves critical auto-labeling and mask export issues.

Key Highlights

Introduced a configurable Magic Wand tool for polygon creation.
Fixed mask export failures when source images are unavailable.
Improved handling of class filters and YAML boolean labels.
Forwarded class filters to remote models.

New Features

Configurable Magic Wand tool for contiguous color regions
Mask export fixes with selection honors
Class filter forwarding to remote models
String preservation for model class and filter names

Full Release Notes

<img width="2010" height="1080" alt="MagicWandDemo" src="https://github.com/user-attachments/assets/84ad2078-1ec5-4927-8db3-97914dbc15a3" />


> PyPI: https://pypi.org/project/x-anylabeling-cvhub/
> Baidu Cloud: https://pan.baidu.com/s/1pgaw02inCvbEgOme9ajDJA?pwd=e528

> [!NOTE]
> Due to compatibility issues across different systems, if the precompiled version doesn’t work properly on your machine, you can try building and running it from source instead. For details, check out the official installation guide and user documentation.

X-AnyLabeling 4.0.1 improves polygon creation and resolves several auto-labeling and mask export issues.

### 🚀 New Features

- Add a configurable Magic Wand tool for creating polygons from contiguous color regions. (#1421)

### 🐛 Bug Fixes

- Prevent mask export failures when source images are unavailable, honor checked selections, and handle cancellation cleanly. (#1422)
- Forward class filters to remote models.
- Preserve model class and filter names as strings to prevent YAML boolean-like labels from crashing the class filter dialog. (#1425)

### 🌟 Contributors

A total of 2 developers contributed to this release.

Thank @cyphercodes, @CVHub520

**Full Changelog**: https://github.com/CVHub520/X-AnyLabeling/compare/v4.0.0...v4.0.1