board detection Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Online Board Game Platforms: The model can be used to digitize physical board games. For example, a user can play a chess game on a physical board, then use computer vision to transfer the game's state into a digital format.
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Board Game Analysis and Strategy Development: Chess coaches or enthusiasts can use it to analyse games. They can take pictures or real-time video of their games, and the AI can determine the board configuration, facilitating the analysis of the moves.
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Educational Tools: The model could be used in educational applications, providing a digitized board setting for learning purposes. For example, teaching different types of chess strategies and tactics.
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Search Engines and E-commerce: The model could help improve search results or product categorization by identifying different types of boards in images.
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Surveillance Systems: In a retail setting, the model can detect when board games or similar merchandise are removed from a shelf, enhancing loss prevention.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
board-detection-qxluh_dataset,
title = { board detection Dataset },
type = { Open Source Dataset },
author = { tj gabor chess },
howpublished = { \url{ https://universe.roboflow.com/tj-gabor-chess/board-detection-qxluh } },
url = { https://universe.roboflow.com/tj-gabor-chess/board-detection-qxluh },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-11-25 },
}