YOLO architecture is similar toGoogleNet. As illustrated below, it has overall 24 convolutional layers, four max-pooling layers, and two fully connected layers. YOLO Arch… See more

Now that you understand the architecture, let’s have a high-level overview of how the YOLO algorithm performs object detection using a simple use case. “Imagine you built a YOLO ap… See more

YOLO object detection has different applications in our day-to-day life. In this section, we will cover some of them in the following domains: healthcare, agriculture, security sur… See more

As aUnified Network for Multiple Tasks, YOLOR is based on the unified network which is a combination of explicit and implicit knowledge approaches. Unified network arc… See more