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.
Full Changelog: v4.0.5...v4.0.6
Contributors
CVHub520 and atirna