The document describes the architecture of 4 YOLOv5 object detection models of different sizes - small, medium, large, and extra large. Each model uses the same basic building blocks of focus, convolutional, and bottleneck CSP layers followed by upsampling and concatenation, but with different input channel sizes and numbers of layers to process images of different resolutions.