About this document

Machine Learning in Football Analytics by shubhamjtanna is a document available to read on EtoBox.

This literature review explores the application of machine learning in football player detection and analysis, focusing on three key studies: a deep CNN model, an upgraded YOLOv5 architecture, and an OpenCV-based optical tracking approach. Each study highlights advancements in real-time analytics, challenges such as occlusion and video quality, and future directions for improving detection accuracy and efficiency. The review emphasizes the potential of these technologies to enhance game strategies and viewe

Author

shubhamjtanna

Language

EN