18. 창환님담당 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: Use the model to identify, analyze, and track the movements and performance of individual football players during a match, including their interactions with the referee and the ball.
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Game Highlights Creation: Create automated game highlight reels by identifying key players and actions during a match, such as a near-miss by 88-LeeTaeSeok or an incredible save by 21-GK-YangHanBeen.
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Player Performance Review: Sports coaches and analysts can monitor individual player performance by tracking their on-field actions, interactions with the ball, and overall positioning throughout the game.
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Automated Sports Journalism: Use the model to generate detailed post-match reports or live commentary, by identifying which players were involved in significant game events.
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Virtual Reality Gaming: Integrate identified classes into a virtual reality game to create a scored football match simulation, providing players with a realistic virtual sports experience.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
18._dataset,
title = { 18. 창환님담당 Dataset },
type = { Open Source Dataset },
author = { aiffel },
howpublished = { \url{ https://universe.roboflow.com/aiffel-qry08/18. } },
url = { https://universe.roboflow.com/aiffel-qry08/18. },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-11-13 },
}