TOPIC

YOLO

In the realm of computer vision and deep learning, object detection is a critical task that involves identifying and locating objects within images or videos. Among the many models developed for this purpose, YOLO, which stands for You Only Look Once, has emerged as one of the most influential and widely used object detection systems. Developed by Joseph Redmon and his colleagues in 2016, YOLO introduced a new approach to object detection that significantly improved speed and efficiency without compromising accuracy. YOLO has revolutionized the field of object detection with its unified images