In this section, we'll discuss one of the most popular detection algorithms, called YOLO. The name is an acronym for the popular motto "You only live once," which reflects the one-stage nature of the algorithm. The authors have released three versions with incremental improvements of the algorithm. We'll first discuss the latest, v3.
Before diving deeper (pun intended), we should mention a few things about YOLO:
- It works with a fully-convolutional network (without pooling layers), not unlike the ones we've seen in this chapter. It uses residual connections and batch normalization. The YOLOv3 network uses three different scales of the image for prediction. What makes it different, though, is the use of special ...
