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...
Na minha lista:
| Autor principal: | |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2024-06-01
|
| coleção: | International Journal of Computational Intelligence Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44196-024-00565-x |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|