YOLOv6: next-generation object detection -- review and comparison


The field of computer vision has rapidly evolved in recent years and achieved results that seemed like science fiction a few years back. These breakthroughs have many causes -- building better, more accessible compute resources, but also the fact that they are the closest thing we have to Open Source Data Science (OSDS). Revealing the source code to the community unlocks the "wisdom of the crowd" and enables innovation and problem-solving at scale. One of the most popular OS projects in computer vision is YOLO (You Only Look Once). YOLO is an efficient real-time object detection algorithm, first described in the seminal 2015 paper by Joseph Redmon et al.

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