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library_name: PyLaia |
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license: mit |
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tags: |
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- PyLaia |
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- PyTorch |
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- Handwritten text recognition |
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metrics: |
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- CER |
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- WER |
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language: |
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- ge |
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--- |
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# Fraktur handwritten text recognition |
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This model performs Handwritten Text Recognition in Austrian German. |
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## Model description |
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The model has been trained using the PyLaia library on the [NewsEye / READ OCR training dataset from Austrian Newspapers (19th C.)](https://zenodo.org/record/3387369) dataset. |
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Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio. |
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## Evaluation results |
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The model achieves the following results: |
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| Split | CER (%) | WER (%) | Support | |
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|---------|-----------|-----------|-----------| |
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| train | 1.62 | 5.63 | 38891 | |
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| val | 1.82 | 7.77 | 3282 | |
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Results can be improved by combining PyLaia with a n-gram language model. |
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## How to use |
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Please refer to the PyLaia library page (https://pypi.org/project/pylaia/) and [wiki](https://github.com/jpuigcerver/PyLaia/wiki/inference) to use this model. |
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