cards Computer Vision Project
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This cards dataset offers object detection of card suit and card values. Making a distinction between suits and values allows you to reduce the number of annotation classes in your dataset. Once a suit and value is identified, you can use post-processing to use that data to understand the cards in a given field of view.
This is especially helpful when the value or the suit may be obfuscated and could increase the accuracy of your system.
Example use case: https://blog.roboflow.com/blackjack-basic-strategy/
Github repo for blackjack app: https://github.com/roboflow-ai/blackjack-basic-strategy
Live demo of blackjack app: https://roboflow-ai.github.io/blackjack-basic-strategy/
Alternative card use cases
Card grading: https://blog.roboflow.com/using-computer-vision-to-make-card-grading-faster-and-cheaper/
Uno cards: https://blog.roboflow.com/improving-uno-with-computer-vision/
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cards-gzetw_dataset,
title = { cards Dataset },
type = { Open Source Dataset },
author = { cards },
howpublished = { \url{ https://universe.roboflow.com/cards-bgop7/cards-gzetw } },
url = { https://universe.roboflow.com/cards-bgop7/cards-gzetw },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2025-02-16 },
}