27. 세한님담당 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 could be used to take live or recorded football gaming footage and identify players, the ball, and referees to track player performance, ball possession, strategic movements, and game rules compliance.
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Virtual Gaming Development: With this model's ability to distinguish objects and players accurately, it could help develop more realistic, immersive sports games where AI mimics real-world player behaviors.
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Media and Broadcasting: The model can analyze key moments of a game for highlights creation, assisting commentators in real-time by providing details of the players involved in specific events.
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Sports Betting Platforms: The model could provide essential data inputs to calculate odds and probabilities based on individual and team performance.
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Player's Skill Training: Coaches can use this model to identify individual players' strengths and weaknesses by tracking their movements, interaction with the ball, and positions throughout the game.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
27._dataset,
title = { 27. 세한님담당 Dataset },
type = { Open Source Dataset },
author = { aiffel },
howpublished = { \url{ https://universe.roboflow.com/aiffel-qry08/27. } },
url = { https://universe.roboflow.com/aiffel-qry08/27. },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2024-12-31 },
}