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...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Springer
2024-06-01
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| سلاسل: | International Journal of Computational Intelligence Systems |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/s44196-024-00565-x |
| الوسوم: |
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