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...
Gorde:
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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Springer
2024-06-01
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| Saila: | International Journal of Computational Intelligence Systems |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/s44196-024-00565-x |
| Etiketak: |
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