v4.0.2

build-with-groq/g1v4.0.2Aug 11, 2026by github-actions[bot]

AI Summary

X-AnyLabeling v4.0.2 expands auto-labeling capabilities by adding new detection and segmentation models while improving YOLO export diagnostics and validation errors.

Key Highlights

Added RT-DETRv2-OBB models for oriented object detection.
Added D-FINE-seg models for instance segmentation.
Improved YOLO export diagnostics by showing failing image details.
Fixed validation errors for incomplete YOLO pose annotations.

New Features

RT-DETRv2-OBB oriented object detection models
D-FINE-seg instance segmentation models
Detailed error reporting for YOLO export failures
Actionable validation for pose annotations

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