v4.0.0-beta.10

superset-sh/supersetv4.0.0-beta.10Jun 20, 2026by CVHub520

AI Summary

This release adds support for the YOLO26 TrackTrack model and expands image processing capabilities to include 16-bit grayscale brightness and contrast adjustments.

Key Highlights

Comprehensive support for YOLO26 TrackTrack model across detection, segmentation, pose, and OBB tracking.
Enhanced image processing with brightness and contrast adjustments for 16-bit grayscale images.
Updates to bug report template checks.

New Features

YOLO26 TrackTrack model support
Brightness and contrast adjustment for 16-bit grayscale images

Full Release Notes

<img width="716" height="401" alt="Image" src="https://github.com/user-attachments/assets/90863cfb-4de2-454e-99a2-e5277cfdb3aa" />

> 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.

### 🚀 New Features

- Add YOLO26 TrackTrack model support for detection, segmentation, pose, and oriented bounding box tracking.

### 🐛 Bug Fixes

- Support brightness and contrast adjustment for 16-bit grayscale images. (#1396)
- Update the bug report template checks command. (#1397)

### 🌟 Contributors

A total of 1 developer contributed to this release.

Thank @CVHub520

**Full Changelog**: https://github.com/CVHub520/X-AnyLabeling/compare/v4.0.0-beta.9...v4.0.0-beta.10