I recorded a from-scratch walkthrough of fine-tuning a YOLOX model for car license-plate detection. Now that YOLO Elixir library supports YOLOX models, this guide helps anyone who wants to build custom YOLOX models and then bring them into the Elixir ecosystem.
We go end to end: setting up the environment and YOLOX, finding and preparing a public dataset, training, evaluate the metrics, running inference on dashcam footage, and comparing results with an Ultralytics YOLO11 model trained on the same data. It is a long, almost live session, since YOLOX relies on older dependencies and I show the real troubleshooting and small script fixes needed to make it work. Once it is set up, performance is strong and on par with Ultralytics.
