Object Detection using YOLO

About this event

We will study the fundamentals of object detection models and discuss the models that are currently available on the market for object detection. Our first aim for the day is to talk about an algorithm for finding and distinguishing various objects in an image (in real-time). We'll look at how YOLO handles object detection as a regression issue and how it generates class probabilities for the discovered photos. Convolutional neural networks (CNN), which are employed in the YOLO approach to recognize objects in real time, will also be discussed.