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I agree. The name YOLO is heavily amused (A good example: https://github.com/jinfagang/yolov7). However, you should note that the research team of YOLOv5 is also not the original one. As @garblegarble mentioned, the original research group stopped working on it (https://news.ycombinator.com/item?id=31918087).

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> But note that YOLOv7 doesn't meant to be a successor of yolo family, 7 is just a magic and lucky number. Instead, YOLOv7 extend yolo into many other vision tasks, such as instance segmentation, one-stage keypoints detection etc..

Are you kidding me?

Deceptive habits like this give ML a really bad reputation and gives me so little confidence that this technology will be used responsibly as ML becomes increasingly powerful.

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