MehrdadKianiOsh / Poker-card-detection-using-CNN

Final project of course: Image analysis and pattern recognition by prof. Jean-Philippe Thiran at EPFL

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Poker-card-detection-using-CNN

The dataset is generated based on 5 different filters:

i. Gaussian blur (sigma=2.5), ii. width and height shift range=0.2, iii. Rotation range <10, iv. zoom range=0.4, and v. brightness between [0.4,1.5].

The dataset is 40 x 28 pixels and the total number is 8851 images.

The dataset is available on kaggle: https://doi.org/10.34740/KAGGLE/DSV/3739262

DOI: 10.34740/kaggle/dsv/3739262

@misc{mehrdad kiani oshtorjani_2022, title={Poker cards - suits and numbers}, url={https://www.kaggle.com/dsv/3739262}, DOI={10.34740/KAGGLE/DSV/3739262}, publisher={Kaggle}, author={Mehrdad Kiani Oshtorjani}, year={2022} }

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Final project of course: Image analysis and pattern recognition by prof. Jean-Philippe Thiran at EPFL


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