cards Computer Vision Project

cards

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Description

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

LICENSE

CC BY 4.0

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 2025-01-04 },
                            }