deteccion Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Sports Analysis: This model can be invaluable in professional and amateur sports scenarios where tracking player movements, ball possession, and referees' actions are critical. It can also help analyze different strategies employed by players or teams in a game.
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Video Game Development: The "deteccion" model can be used in football video game industry to provide real-time feedback and analysis. For example, it can be used to identify game scenarios during a play (who has the ball, referee's position, etc.) and subsequently translate them into a gaming environment.
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Sports Betting Apps: The model can be applied to provide detailed real-time analysis of matches in sports betting apps. It can identify the current players on the field, the goalkeeper, and even ball possession which might influence betting odds and decisions.
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Virtual Reality Training: The model can be used in the development of virtual reality (VR) sports training programs. By identifying each player class, the goalkeeper, and the ball, it can provide a realistic simulation for athletes to practice and strategize effectively.
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Sports Broadcasting: "deteccion" can be used in systems that provide automated, real-time highlights of sports events. By identifying key players, ball position, and the referee's actions, these systems can automatically generate exciting and notable moments during a live football match.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
deteccion-ls2c8_dataset,
title = { deteccion Dataset },
type = { Open Source Dataset },
author = { Haritz },
howpublished = { \url{ https://universe.roboflow.com/haritz/deteccion-ls2c8 } },
url = { https://universe.roboflow.com/haritz/deteccion-ls2c8 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2025-02-16 },
}