Contains around 3000 images of digitally printed numeric dataset.
Each image is of dimension 28x28 and is grayscale. This dataset was purposely created for sudoku digits classification hence it shows blank image for 0 (zeros).
This dataset originally had 177 images, afterwards augmentation was performed.
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All images are in assets forlder with their respective names, example: folder assets/1 contains all images with label
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Folder model contains a pretrained CNN model trained on this data (96% accuracy on 10 epochs with batch size 10).
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File loader.py is a helper file to convert sudoku images into cells and save them as desired output in respective assets folder, Note that this script uses a global counter variable stored in counter.pickle.
We still required more data, apart from that images of digit 0 is needed, Pull Requests are most welcome and appreciated..
MIT License
Copyright (c) 2021 Kshitij Dhama
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