v4.0.2

CVHub520/X-AnyLabelingv4.0.2Aug 11, 2026by github-actions[bot]

AI Summary

X-AnyLabeling 4.0.2 expands auto-labeling capabilities by integrating new detection and segmentation models. Additionally, it enhances the YOLO export workflow by improving diagnostics and validation for pose annotations.

Key Highlights

Addition of RT-DETRv2-OBB models for oriented object detection.
Addition of D-FINE-seg models for instance segmentation.
Improved YOLO export diagnostics to show image details on errors.
Better validation errors for incomplete YOLO pose annotations.

New Features

Add RT-DETRv2-OBB models for oriented object detection.
Add D-FINE-seg models for instance segmentation.
Show failing image details when YOLO export errors occur.

Full Release Notes

> 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 4.0.2 expands auto-labeling with new detection and segmentation models and improves YOLO export diagnostics.

### 🚀 New Features

- Add RT-DETRv2-OBB models for oriented object detection.
- Add D-FINE-seg models for instance segmentation. (#1427)
- Show failing image details when YOLO export errors occur.

### 🐛 Bug Fixes

- Provide actionable validation errors for incomplete YOLO pose annotations. (#1426)

### 🌟 Contributors

A total of 2 developers contributed to this release.

Thank @xixyibaozuis, @CVHub520

**Full Changelog**: https://github.com/CVHub520/X-AnyLabeling/compare/v4.0.1...v4.0.2