tennis_serve_detection Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Sports Training Aid: Tennis coaches can use the model to analyze and improve the serving techniques of their players, using the data on grip, trophy pose and scoreboard.
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Game Analysis Software: Sports broadcasts or analysis tools could integrate the model to provide detailed analysis of each player's serve during tennis matches, providing viewers with in-depth statistics and insights.
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Injury Prevention: Physiotherapists and sports scientists might use the model to identify improper serving techniques that could lead to injuries, using the grip and trophy pose data and make the necessary adjustments.
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Virtual Reality Gaming: VR game developers could use this model to build realistic tennis games where the AI opponent responds depending on the player's serving technique.
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Fair-play Verification: Tennis tournament organizers could use the model to automatically detect any illegal serving actions or rule violations by players, using the data on grip and trophy pose.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tennis_serve_detection_dataset,
title = { tennis_serve_detection Dataset },
type = { Open Source Dataset },
author = { Sunho Lee },
howpublished = { \url{ https://universe.roboflow.com/sunho-lee/tennis_serve_detection } },
url = { https://universe.roboflow.com/sunho-lee/tennis_serve_detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2024-11-21 },
}