What is Yolo format?
Hereof, how many pictures do you need to train Yolo?
There is an objective minimum of one image per class. That may work with some accuracy, in principle, if using data-augmentation strategies and fine-tuning a pretrained YOLO network. The objective reality, however, is that you may need as many as 1000 images per class, depending on your problem.
Furthermore, what can Yolo detect? YOLO: Real-Time Object Detection. You only look once (YOLO) is a system for detecting objects on the Pascal VOC 2012 dataset. It can detect the 20 Pascal object classes: person.
Simply so, how does YOLOv2 work?
For every 10 batches, YOLOv2 randomly selects another image size to train the model. This acts as data augmentation and forces the network to predict well for different input image dimension and scale. In additional, we can use lower resolution images for object detection at the cost of accuracy.
Why is Yolo bad?
YOLO grew like a parasite and infected almost everyone, and just like parasites, YOLO should be destroyed. In high school, factors such as peer pressure and mob mentality pushes people to make bad life decisions such as drinking or doing drugs.