detection_personne_balle_basket Computer Vision Project
Updated 3 years ago
38
views5
downloadsHere are a few use cases for this project:
-
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.
-
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.
-
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.
-
Surveillance and Security: The model can monitor public basketball courts to ensure users' safety or to track usage statistics for park and recreation planning.
-
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'.
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{
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 2024-12-26 },
}