11. Fcseoul-home Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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Sports Analytics: This model can be used for player tracking, statistical analytics, and team performance analysis in football games, specifically for FC Seoul team. It's able to measure the individual’s performance which can provide insights to coaches on strategizing game plays.
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Broadcasting and Media: The model can be used to automatically identify and highlight key players or referees during broadcasting. It can generate real-time player statistics for commentators.
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Video Gaming and Simulation: The model can be integrated into video games to realize AI-based characters mirroring real-world players' performance and movements.
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Security and Surveillance: The model can be utilized to monitor crowds during games for security purposes, such as identifying individuals in the audience or tracking unexpected behaviors/actions.
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Automated Sports Journalism: This model can be a component in a system generating automated news stories or match summaries, by providing player occurrences, movements, and interactions data.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
11.-fcseoul-home_dataset,
title = { 11. Fcseoul-home Dataset },
type = { Open Source Dataset },
author = { aiffel },
howpublished = { \url{ https://universe.roboflow.com/aiffel-qry08/11.-fcseoul-home } },
url = { https://universe.roboflow.com/aiffel-qry08/11.-fcseoul-home },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-12-31 },
}