YOLOv8 for Object Detection Explained [Practical Example]

One of the most, if not the most, well-known models in Artificial intelligence (AI) is the "YOLO" model series. When I was in school, YOLO used to mean something else. And yet, here I am 15 years later writing an article about it -- who would have thought? YOLO (You Only Look Once) is a popular set of object detection models used for real-time object detection and classification in computer vision. Originally developed by Joseph Redmon, Ali Farhadi, and Santosh Divvala, YOLO aims to achieve high accuracy in object detection with real-time speed.