Trained YOLOX from scratch to avoid Ultralytics (iOS aircraft detect)
This is a practical, no-nonsense play: someone trained YOLOX from scratch, released MIT-licensed weights, and packaged a path toward running it on iOS. The value is procedural — dataset curation, training recipe, and an export/convert-for-iOS pipeline — but it's not a conceptual breakthrough; I'd like to see clear mAP numbers, model size and on-device latency benchmarks before recommending it for production.
