BadmintonC Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Sports Analysis and Training: BadmintonC could be used by coaches or athletes to analyze training sessions or matches. With its ability to identify badminton courts, trajectory tracking and pattern recognition for tactics and strategy adjustments could be implemented.
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Recreation Management: Recreation centers or clubs could use BadmintonC to monitor their badminton courts in real-time, knowing when courts are occupied or free, and ensuring proper use of sport facilities.
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eSports and Games Development: For games developers, it can be used in creating more realistic badminton games by accurately representing badminton courts and to enhance computer players' strategy through learning real-world tactics(using BadmintonC on historical matches).
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Surveillance and Security: For facility managers, BadmintonC could help monitor safety compliance, ensuring the proper number of people on the court and that the court area is being used for its intended purpose.
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Event Management: Organizers of badminton tournaments could use BadmintonC to manage court allocation and monitor event's progress more effectively. It could provide real-time updates on which courts are in use and what matches are happening, thereby improving operational efficiency.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
badmintonc_dataset,
title = { BadmintonC Dataset },
type = { Open Source Dataset },
author = { Himani Jain },
howpublished = { \url{ https://universe.roboflow.com/himani-jain/badmintonc } },
url = { https://universe.roboflow.com/himani-jain/badmintonc },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-12-18 },
}