Printed Urdu Base Model Trained on the OpenITI Corpus

# Printed Urdu Base Model Trained on the OpenITI Corpus This is a text recognition model trained on the OpenITI dataset of printedArabic-script text available [here](https://github.com/OpenITI/arabic_print_data.git) in its state of 2022-09-03. It encompasses Urdu (~11k lines) material in a variety of typefaces. The model has been obtained by fine-tuning the [Arabic-script base model](https://doi.org/10.5281/zenodo.7050296) on the purely Urdu subset of the corpus. The ground truth was lightly normalized to NFD but is otherwise untouched. ## Architecture The default model architecture and hyperparameters of kraken 4.x where used. ## Uses The model is trained on a variety of highly diverse typefaces it is mostly intended as a base model for fine-tuning more specific models from it. In line with this it has not been extensively verified or optimized. ## How to Get Started with the Model Follow the instructions on installing and using kraken from the [website](https://kraken.re). #### Metrics CER: 4.13%