pool_bot_v2 Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Pool Ball Tracking: This model can be used to track the movement and positions of pool balls in a game. This could be valuable for creating an automatic scoring system or for providing players with analytics post-game to improve strategizing and skill building.
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Online Gaming: Within virtual pool or billiards games, the model could facilitate the identification of balls on various table layouts, aiding in the creation of more realistic gaming experiences.
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Production Line Quality Control: In industries where pool balls are manufactured, the model could be used for quality control, automatically detecting and classifying pool balls based on their color. This would ensure that the manufacturing process is accurate and efficient.
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Pool Tutoring Applications: Pool training mobile apps might use this model to analyze the user's performance based on their shot selection and ball positioning strategy. Over time, this kind of application could provide personalized coaching recommendations to help users improve their pool-playing skills.
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Sports Live Broadcasting: In the sports broadcasting industry, this computer vision model could be utilized to detect pool balls in real-time during matches. This can lead to automated statistics generation for live commentary and more enhanced viewer 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{
pool_bot_v2_dataset,
title = { pool_bot_v2 Dataset },
type = { Open Source Dataset },
author = { SIV Poolbot },
howpublished = { \url{ https://universe.roboflow.com/siv-poolbot/pool_bot_v2 } },
url = { https://universe.roboflow.com/siv-poolbot/pool_bot_v2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-21 },
}