YOLO (You Only Look Once)

YOLO, meaning You Only Look Once, is a family of computer vision models that detects and classifies multiple objects in an image with a single processing pass. Earlier systems often evaluated proposed regions separately, while YOLO predicts locations and class probabilities together, enabling real-time performance. It is used in robotics, traffic analysis, manufacturing, retail, sports, security, and mobile applications. Different YOLO versions vary in architecture, licensing, speed, size, and accuracy, so the name does not identify one fixed model. Detection can decline with small, overlapping, obscured, or unfamiliar objects. Responsible deployment requires representative data, threshold tuning, privacy controls, and tests using the actual cameras, lighting, and hardware.