Look Once Version 8

YOLOv8 is a cutting-edge object detection model renowned for its speed and accuracy, currently a focus of research across diverse applications. Studies explore its performance enhancements through the integration of attention mechanisms, improved feature extraction techniques (like CSPNet and GFPN), and modifications to loss functions (e.g., PIoU). This versatile model shows significant promise for real-time object detection in various fields, including medical imaging, agriculture, and traffic monitoring, offering improved efficiency and accuracy compared to previous iterations.