projet_MIDVI Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Sports Analytics: The model can be used by sports analysts to automatically annotate game footage with player and ball locations, referees' positions and possibly determining different interactions in the game.
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Improved Broadcasting: Broadcasting networks can use project_MIDVI to enhance their live streams, auto-highlighting players, the ball, and referees to provide a more immersive experience for viewers.
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Augmented Reality Applications: The model can be integrated into AR applications to superimpose real-time stats or extra info over the soccer players, ball or referees during a live match.
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Player Training and Improvement: Coaches and players can use this model to analyze player and ball movements post-game to improve strategies, techniques or to understand game dynamics.
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Video Games Development: Developers of sports video games can use project_MIDVI to make their AI more realistic by learning from the model's identifications of players, ball and referees.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
projet_midvi_dataset,
title = { projet_MIDVI Dataset },
type = { Open Source Dataset },
author = { analyse vidio },
howpublished = { \url{ https://universe.roboflow.com/analyse-vidio/projet_midvi } },
url = { https://universe.roboflow.com/analyse-vidio/projet_midvi },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-11-24 },
}