merge-cards2 Computer Vision Project
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Here are a few use cases for this project:
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Gaming Applications: The "merge-cards2" model can be used in the development of online card games like poker, bridge, or blackjack where real-time recognition of different cards is essential.
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Educational Tools: It can be implemented into educational applications that teach card games, helping users recognize and understand different card types and combinations.
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Casino Surveillance: The model can be applied in a security context to monitor card games in casinos, identifying potential cheating by recognizing the card patterns.
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Augmented Reality Applications: The model can be utilized in AR games or tools, overlaying additional information or visual effects on recognized card types when viewed through a device.
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Assisting Visually Impaired Individuals: In an assistive tech context, the model can be developed into an app to help visually impaired people recognize card symbols and numbers making it easier for them to participate in card games.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
merge-cards2_dataset,
title = { merge-cards2 Dataset },
type = { Open Source Dataset },
author = { Oren Zbeda },
howpublished = { \url{ https://universe.roboflow.com/oren-zbeda-gbguk/merge-cards2 } },
url = { https://universe.roboflow.com/oren-zbeda-gbguk/merge-cards2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-21 },
}