GolfProject Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Sports Training: This model can be utilized to analyze movements in golf swings and shots. It can track and study the trajectory and speed of a golf ball after a shot or during practice sessions, providing useful feedback to players regarding their technique.
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Recreation Management: Golf courses could use this model to monitor each playing hole, ensuring balls are located in the right areas and detect/or anticipate any golf course maintenance issues, such as balls continuously going out of bounds.
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Golf Broadcasting and Media: The GolfProject model can support real-time sportscast applications. It would assist in precisely tracing the golf ball, enhancing viewer experiences by offering detailed insights about each shot.
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Golf Equipment Development: Companies designing golf balls or pins could use this model for quality control, ensuring products have the accurate aspects for detection or comparing how their ball or pin appears compared to those of other competitors.
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Game Development: Developers of golf-based video games and virtual reality experiences can use this model to create more realistic golf physics and visuals, improving user experiences.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
golfproject_dataset,
title = { GolfProject Dataset },
type = { Open Source Dataset },
author = { Syed Muhammad Affan },
howpublished = { \url{ https://universe.roboflow.com/syed-muhammad-affan/golfproject } },
url = { https://universe.roboflow.com/syed-muhammad-affan/golfproject },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2024-12-22 },
}