Enhancing the Performance and Accuracy in Real-Time Football and Player Detection Using Upgraded YOLOv5 Architecture
Abstract The study presents a significantly improved version of the YOLOv5 real-time object detection model for football player recognition.The Hunting proposed technique includes feature-tuning and hyper-parameter optimization methods that have been carefully selected to enhance both speed and accuracy, resulting in a superior real-time performanc