YOLO Shake Hand

YOLO (You Only Look Once) is a family of real-time object detection algorithms used across diverse applications, primarily focusing on efficient and accurate identification of objects within images and videos. Current research emphasizes improving YOLO's performance through architectural modifications (e.g., integrating transformer networks, employing attention mechanisms, and optimizing for specific hardware), and adapting it for challenging scenarios like low-quality images, foggy conditions, and weakly supervised learning. These advancements have significant implications for various fields, including medical image analysis (e.g., cancer detection, hemorrhage segmentation), autonomous driving, and remote sensing (e.g., ocean eddy localization, airport detection).