It's about time for Roboflow to pull this article. It seems highly unlikely that a 90 % smaller model would provide a similar accuracy, and the result seems to come from a small custom dataset only. Please make a real COCO comparison instead.
> It's about time for Roboflow to pull this article.
The article still adds value by suggesting how one would run the network and in general the site seems to be about collating different networks.
Perhaps a disclaimer could be good, reading something like: "the speed improvements mentioned in this article are currently being tested". As a publisher, when you print somebody else's words, unless quoted, they are said with your authority. The claims are very big and it doesn't feel like enough testing has been done yet to even verify that they hold true.
The YoloV5 repo itself shows performance comparable to YoloV3: https://github.com/ultralytics/yolov5#pretrained-checkpoints
Another comparison suggests YoloV5 is slightly WORSE than YoloV4: https://github.com/WongKinYiu/CrossStagePartialNetworks/issu...