For handwritten roman numbers recognition task our team creat dataset of roman numbers. It is availabel at link: https://drive.google.com/open?id=1TZF0qVN1PojR5o_nPR_cl7T9sxH37iMY
Saved TensorFlow model is also available at google drive: https://drive.google.com/open?id=1ug2PVwrggSQ7ro2mjGhfXVaZ--j7kLBP
But you don't need manualy download this data. load_and_split_data notebooke will do it for you.
File utils.py contains function for loading data to memory, augmantation and showing images.
Examples of augmanted images are shown in Overview_augmented_images.ipynb.
- install python >= 3.6
- inslall all packages from requirements.txt in your virtual environment For example, use pip install -r requirements.txt
- run load_and_split_data.ipynb to load dataset and saved tensorflow model
- run model1.2_tensorflow.ipynb to see how model works