detection_personne_balle_basket Computer Vision Project
Updated 3 years ago
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downloadsHere are a few use cases for this project:
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Sports Analytics: The model could be used to analyze team strategies and players' performance in basketball games, by identifying times when various players possess the basketball.
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Activity Tracking: Players, coaches, and fitness professionals could use this model to track training sessions, observing how often individuals possess the ball, trajectory of the ball, and interactions between players.
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Video Production: Sports broadcasters could use the model during live coverage or replay analysis. It can automatically highlight the person with the ball, making it easier for audience to follow the game.
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Surveillance and Security: The model can monitor public basketball courts to ensure users' safety or to track usage statistics for park and recreation planning.
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Interactive Games and Apps: The model could be used to design mobile apps or video games that allow users to virtually 'play' basketball, identifying when the user or another player has the 'ball'.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
detection_personne_balle_basket_dataset,
title = { detection_personne_balle_basket Dataset },
type = { Open Source Dataset },
author = { maxime.poulain@isen-ouest.yncrea.fr },
howpublished = { \url{ https://universe.roboflow.com/maxime-poulain-isen-ouest-yncrea-fr/detection_personne_balle_basket } },
url = { https://universe.roboflow.com/maxime-poulain-isen-ouest-yncrea-fr/detection_personne_balle_basket },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-11-23 },
}