by Michele Laurelli
A real-time object detection architecture that frames detection as a regression problem.
YOLO divides images into a grid and predicts bounding boxes and class probabilities simultaneously. Known for exceptional speed, making it suitable for real-time applications.
Real-time video object detection
Autonomous driving
Surveillance systems