Printed Arabic-Script Base Model Trained on the OpenITI Corpus ============================================================== This is a text recognition model trained on the OpenITI dataset of printed Arabic-script text available at [0] in its state of 2022-09-03. It encompasses real world Arabic (~23k lines), Persian (~17k lines), Urdu (~11k lines), and Ottoman Turkish (~7100 lines) material in a variety of typefaces augmented by a synthetic data in the Tahoma (600 lines) typeface. As the model is trained on a variety of languages and 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. The ground truth was lightly normalized to NFD but is otherwise untouched. [0]: https://github.com/OpenITI/arabic_print_data.git