Rugby model Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Sports Analysis: The model can be used by sports analysts and coaches to review game strategies based on player positions and movements throughout the game. This can also be used for automated identification of critical game moments such as ruck, maul, scrum, and line out.
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Sports Journalism: Journalists can use this model to generate interactive headlines or articles that visually breakdown game situations, contributing to a better understanding of the sports gameplay for readers.
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Content Creation for Social Media: Sports teams, sports marketing agencies, or influencers could use the model to create content that highlights specific actions such as player movements or ball interactions for social media posts.
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Player Performance Assessment: Teams could use the model to monitor and evaluate individual player performance by tracking their involvement in various aspects of the game like interaction with ball, participation in ruck, maul, scrum, or line out.
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Sports Betting and Fantasy Leagues: By analyzing gameplay using this model, predictive insights can be gathered to support decision-making in sports betting or fantasy leagues. It can also enhance user engagement by providing visual analysis of game sequences.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
rugby-model_dataset,
title = { Rugby model Dataset },
type = { Open Source Dataset },
author = { University of Tokyo },
howpublished = { \url{ https://universe.roboflow.com/university-of-tokyo-eqewd/rugby-model } },
url = { https://universe.roboflow.com/university-of-tokyo-eqewd/rugby-model },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-21 },
}