ALICE, an offline tool that builds YOLO datasets from raw footage, goes public

An open-source tool called "ALICE" that automatically generates annotated YOLO datasets from raw images and video, then handles training through ONNX export in a single web UI, has been released. Built by Simon Cirstoiu, it runs self-hosted and fully offline. The code and setup instructions are available on GitHub.