Bester-Kicker Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Virtual Referee Application: The Bester-Kicker model can be employed in a mobile application to serve as a virtual referee during table football matches. By identifying different classes of balls, the app could accurately keep track of goals scored, detect fouls, or verify legitimate plays.
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Table Football Training: Trainers or players can use this model to study and optimize their game strategies by observing the dynamics and behaviors of different types of balls.
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Foosball Table Manufacturing: Manufacturers could use the model to test and evaluate how their table design impacts the playability and observed performance of different types of balls.
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Quality Assurance in Ball Manufacturing: The model can be employed in the production line of balls, classifying newly produced balls depending on their make, color, size, and even assessing their quality standards.
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Sports Equipment E-commerce: Online sports equipment sellers can utilize the model to automatically categorize and tag images of table football balls for more accurate product listing and easier customer navigation.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
bester-kicker_dataset,
title = { Bester-Kicker Dataset },
type = { Open Source Dataset },
author = { Kicker },
howpublished = { \url{ https://universe.roboflow.com/kicker-cpy7b/bester-kicker } },
url = { https://universe.roboflow.com/kicker-cpy7b/bester-kicker },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-21 },
}