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v4.0.6

CVHub520/X-AnyLabelingv4.0.6Sep 5, 2026by github-actions[bot]

AI Summary

X-AnyLabeling v4.0.6 significantly expands external training capabilities and model deployment workflows, while introducing granular controls for auto-labeling runs and enhancing custom model management.

Key Highlights

  • Enhanced external Ultralytics training featuring isolated Python workers, workspace snapshots, and deployable ONNX export configurations.
  • Added optional start and end image ranges for Auto Run with localized controls and validation.
  • Improved custom model management, allowing users to remove models directly from the searchable dropdown.
  • Better system compatibility and execution with WSL path resolution and background execution support.

New Features

  • Isolated Python workers and environment/device detection for external Ultralytics training.
  • Optional start and end image ranges for Auto Run functionality.
  • Direct removal of custom auto-labeling models from the model dropdown.
  • WSL path resolution and improved background execution for training tasks.

Full Release Notes

> PyPI: https://pypi.org/project/x-anylabeling-cvhub/

> [!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 4.0.6 expands external training and model deployment workflows, adds more control to auto-labeling runs, and improves custom model management.

### 🚀 New Features

- Enhance external Ultralytics training with isolated Python workers, environment and device detection, workspace snapshots, reusable organized datasets, WSL path resolution, background execution, improved logs and previews, and deployable ONNX export configurations.
- Add optional start and end image ranges for Auto Run, with localized controls and validation.
- Allow custom auto-labeling models to be removed directly from the searchable model dropdown.

### 🐛 Bug Fixes

- Preserve label edit mode after uploading attributes. (#1445)
- Reset an image's checked status when auto-labeling inference modifies its annotations.

### 🌟 Contributors

A total of 2 developers contributed to this release.

Thank @atirna, @CVHub520

**Full Changelog**: https://github.com/CVHub520/X-AnyLabeling/compare/v4.0.5...v4.0.6