CDIO_soilitaire Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Card Game Assistant: Use the CDIO_soilitaire model to detect and recognize cards in a game like Solitaire or Poker, and provide real-time advice, statistics, or even automate gameplay.
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Card Sorting Machine: Design a robotic system that uses the CDIO_soilitaire model to recognize and sort playing cards for storage, organization, or game setup purposes.
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Double Checking Rule Violations: Implement the CDIO_soilitaire model in a card game app to automatically detect rule violations by recognizing the cards played and alerting the players.
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Augmented Reality Card Games: Utilize the CDIO_soilitaire model to create an immersive augmented reality experience by recognizing real-world cards, and overlaying digital effects, scores, or other game components on top.
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Card-based Authentication System: Develop a unique authentication system using the CDIO_soilitaire model to recognize specific card arrangements as a form of password or access control for secure locations or digital platforms.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cdio_soilitaire_dataset,
title = { CDIO_soilitaire Dataset },
type = { Open Source Dataset },
author = { armandas.rokas@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/armandas-rokas-gmail-com/cdio_soilitaire } },
url = { https://universe.roboflow.com/armandas-rokas-gmail-com/cdio_soilitaire },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2025-01-10 },
}