Published September 5, 2022
| Version v1
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Printed Arabic-Script Base Model Trained on the OpenITI Corpus
Description
Printed Arabic-Script Base Model Trained on the OpenITI Corpus
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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
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