This post is in response to the discussion[1] on Hacker News this week on the post "YOLOv5: State-of-the-art object detection at 140 FPS" and the objections rai

This post is in response to the discussion[1] on Hacker News this week on the post "YOLOv5: State-of-the-art object detection at 140 FPS" and the objections raised by AlexeyAB on Github[2]. The controversy surrounded around two points: • Should the model truly be named YOLOv5? • Are the initial benchmarks Roboflow published accurate and reproducible? We have published more details surrounding our methodology, clear steps and notebooks for reproducing our results, a correction of an unfair comparison we made (re relative inference speed and batch sizes), how we think about the naming controversy and a request for the community to weigh in. [1] https://news.ycombinator.com/item?id=23478151 https://news.ycombinator.com/item?id=23478151 [2] https://github.com/AlexeyAB/darknet/issues/5920#issuecomment-642812152 https://github.com/AlexeyAB/darknet/issues/5920#issuecomment...