YOLO, which stands for "You Only Look Once," is a popular real-time object detection algorithm that revolutionizes the field of computer vision. Unlike traditional methods that apply a sliding window approach, YOLO processes an entire image in one pass, enabling faster detection of objects within images. The algorithm divides the image into a grid and predicts bounding boxes and class probabilities simultaneously for multiple objects. YOLO's efficiency and speed make it particularly suitable for applications like surveillance, autonomous vehicles, and robotics, where real-time processing is essential. The technique has undergone several iterations, with improvements in accuracy and performance in various domains.