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The instructions in the AlexeyAB repo are quite straightforward. You can follow along here. I would recommend adding your class as the last line in coco.names and then only include your new class in the retraining data. This will be much faster retraining with all of the Coco data but you must be careful that your new data does not include unlabelled instances of any of the other 80 classes or else performance in the other classes may be reduced.
Related posts
- Anybody building ML models in C++?
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- How do I train YOLO5 to detect small objects (arial imagery). something like 20-20 pixels or maybe little more? How do I increase resolution and apply augmentation and tiling? Or maybe the YOLO5 is not he best choice for that?
- I just realized yolov5 is GPL-3
- I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.