This computer vision project analyzes tennis match videos using cutting-edge techniques. It employs YOLOv8 for player detection, finetuned YOLO for ball tracking, and ResNet50 for extracting court keypoints. Additionally, it calculates player and ball speeds and generates a mini court reflecting player positions.
Data Science Project analysing Association of Tennis Professional's (ATP) data.
Companion for tennis players to manage their matches and tournaments.
The purpose of this project is to access the relationship between age and performance of professional tennis players
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