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 proposed technique includes feature-tuning and hyper-parameter optimization methods that have been carefully selected to enhance both speed and accuracy, r...
Furkejuvvon:
| Váldodahkki: | |
|---|---|
| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Springer
2024-06-01
|
| Ráidu: | International Journal of Computational Intelligence Systems |
| Fáttát: | |
| Liŋkkat: | https://doi.org/10.1007/s44196-024-00565-x |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
|