ap-tennis Computer Vision Project
Here are a few use cases for this project:
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Sports Analytics: The model can be used to analyze player movements, racquet swings, ball speed, and trajectory in real-time while a tennis match is ongoing. This can give valuable insights to the coaches and players to enhance their strategies.
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Automated Broadcasting: It can be used to automate camera movements during broadcasting of tennis matches. The recognition of various classes can help the camera automatically identify and follow the most relevant action on the field.
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Game Highlights: The model can be deployed to automatically generate match highlights by identifying key moments like a player hitting the ball, referee decision making moments, and ball boy fielding the balls.
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Game Equipment Quality Assurance: Manufacturers of tennis equipment can use the model to automatically identify defects or inconsistencies in balls or racquets as they move along the production line.
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Sports Training and Education: Trainers can utilize the model to analyze and educate athletes about their performance, considering factors such as their stance, the angle of the racquet during a shot, and the speed and spin of the ball.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ap-tennis_dataset,
title = { ap-tennis Dataset },
type = { Open Source Dataset },
author = { Class },
howpublished = { \url{ https://universe.roboflow.com/class-1usc7/ap-tennis } },
url = { https://universe.roboflow.com/class-1usc7/ap-tennis },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-04-28 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the ap-tennis project in your project.
