CBLV2 Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Chess Game Analysis: CBLV2 can be used to analyze chess games in real time by tracking the positions of the chess-pieces and providing move suggestions or detecting illegal moves made by players.
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Chess Tutorial and Education Platforms: The model can be integrated into chess learning platforms to monitor students’ progress, analyze the positions of chess-pieces during practice sessions, and generate personalized feedback or recommendations.
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Chess-based Augmented Reality Applications: CBLV2 can be utilized in developing interactive augmented reality apps, where users can play chess on physical boards with virtual opponents, receive real-time assistance, or visualize complex strategies.
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Automatic Chess Notation: Using the model to identify chess-pieces and their positions, CBLV2 can create written records of games in standard algebraic notation, simplifying the process of documenting and sharing game data.
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Assisting Visually Impaired Chess Players: By integrating CBLV2 into audio-assisted applications or special chessboards, visually impaired players can receive audio guidance about the positions of pieces, facilitating a more inclusive chess-playing experience.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cblv2_dataset,
title = { CBLV2 Dataset },
type = { Open Source Dataset },
author = { ChessPieceDetection },
howpublished = { \url{ https://universe.roboflow.com/chesspiecedetection/cblv2 } },
url = { https://universe.roboflow.com/chesspiecedetection/cblv2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-11-24 },
}