Tennisball-Detection Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Sporting Events: The "Tennisball-Detection" model can be used in televised tennis matches, tracking the movement of the tennis ball in real-time, helping in line calls or in creating detailed post-game analysis including speed tracking and shot mapping.
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Player Training Software: The model can be integrated into a training software to help tennis players improve their performance by analyzing their interactions with the tennis ball. It can track the spin, speed, bounce and trajectory of the ball, providing data-driven insights to players and coaches.
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Automated Video Editing: The model can assist in the automatic creation of highlight reels from tennis matches. It could identify the moments where the tennis ball is in action, helping to cut and focus only on the key parts of a game.
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Umpiring Assist Tool: The model could be used as a tool to assist umpires in making accurate and consistent line calls, particularly for lower-tier matches where hawk-eye technology is not available.
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Recreation and Home Use: For hobbyists and amateur players, the model can be used in home tennis kits to track ball movements and provide feedback to improve their game. Also, in casual games, it can be used to solve disputes over whether the ball was in or out.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tennisball-detection_dataset,
title = { Tennisball-Detection Dataset },
type = { Open Source Dataset },
author = { Technical University },
howpublished = { \url{ https://universe.roboflow.com/technical-university-8vp9c/tennisball-detection } },
url = { https://universe.roboflow.com/technical-university-8vp9c/tennisball-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-11-14 },
}