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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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- la |
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--- |
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# HOME-Alcar and Himanis handwritten text recognition |
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This model performs Handwritten Text Recognition in Latin. |
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## Model description |
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The model has been trained using the PyLaia library on the [HOME-Alcar](https://zenodo.org/record/5600884) document images. |
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The model was trained on images resized to 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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Himanis: |
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| set | CER (%) | WER (%) | support | |
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| ----- | ---------- | --------- | --------- | |
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| train | 5.31 | 17.47 | 18503 | |
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| val | 10.37 | 27.63 | 2367 | |
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| test | 9.87 | 28.27 | 2241 | |
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HOME-Alcar: |
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| set | CER (%) | WER (%) | support | |
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| ----- | ---------- | --------- | --------- | |
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| train | 4.74 | 17.29 | 59969 | |
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| val | 7.82 | 23.67 | 7905 | |
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| test | 8.34 | 24.57 | 6932 | |
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## How to use |
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Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/). |
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