Playing Cards Computer Vision Project
Updated a year ago
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Overview
The Playing Cards dataset is a collection of synthetically generated cards blended into various types of backgrounds. You will be able to perform object detection to detect both number and suit of the cards.
Example Footage
Training and Deployment
The playing cards model has been trained in Roboflow, available for inference on the Dataset tab.
One could also build a Card Counting model for either Black Jack or Poker using YOLOR. This is achieved using the Roboflow Platform which you can deploy the model for robust and real-time detections. You can learn more here: https://augmentedstartups.info/YOLOR-Get-Started
Video Demo using YOLOR for training- https://youtu.be/2lGTZuaH4ec
About Augmented Startups
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
playing-cards-ow27d_dataset,
title = { Playing Cards Dataset },
type = { Open Source Dataset },
author = { Augmented Startups },
howpublished = { \url{ https://universe.roboflow.com/augmented-startups/playing-cards-ow27d } },
url = { https://universe.roboflow.com/augmented-startups/playing-cards-ow27d },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-21 },
}