tennis_serve_detection Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
-
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.
-
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.
-
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.
-
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.
-
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.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-11-14 },
}