I've been building panlabel — a fast Rust CLI that converts between dataset annotation formats — and I'm a few releases behind on sharing updates.

v0.3.0: Hugging Face ImageFolder support (local + remote Hub import)
v0.4.0: auto-detection UX overhaul + Docker images
v0.5.0: split-aware YOLO reading + conversion report explainability
v0.6.0: Five new format adapters — LabelMe, CreateML, KITTI, VIA JSON, RetinaNet CSV

That brings panlabel to 13 supported formats with full read, write, and auto-detection. Single binary, no Python dependencies.

This is the kind of project I enjoy just steadily plodding away at — ticking off one format at a time until every common object detection annotation format is covered.

https://github.com/strickvl/panlabel

#ObjectDetection #Rust #MachineLearning #ComputerVision #OpenSource

GitHub - strickvl/panlabel: Universal annotation converter

Universal annotation converter. Contribute to strickvl/panlabel development by creating an account on GitHub.

GitHub