Published September 5, 2022 | Version v1
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Printed Persian Base Model Trained on the OpenITI Corpus

  • 1. École Pratique des Hautes Études, Aoroc - CNRS PSL

Description

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 Persian (~17k lines) material in a variety of typefaces. The model has been obtained by fine-tuning the Arabic-script base model [1] on the purely Persian subset of the corpus. As 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. The ground truth was lightly normalized to NFD but is otherwise untouched. [0]: https://github.com/OpenITI/arabic_print_data.git [1]: 10.5281/zenodo.7050270

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