Introduced by Joseph Redmon and colleagues in 2015, YOLO predicts bounding boxes and classes for the whole image at once, making it fast enough for video. Many later versions from different groups improved accuracy and speed.

It is used in traffic monitoring, retail analytics, robotics and industrial inspection.