Look Once Algorithm

The You Only Look Once (YOLO) algorithm is a family of real-time object detection models primarily focused on achieving a balance between speed and accuracy. Current research emphasizes improving YOLO's performance in challenging scenarios, such as detecting small or occluded objects in aerial imagery, multispectral data, or cluttered environments, often through architectural modifications like incorporating attention mechanisms and feature pyramid networks. These advancements have significant implications across diverse fields, including autonomous driving, agriculture, healthcare, and industrial quality control, enabling efficient and accurate automated object detection in real-world applications.