yschneider
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Add files for PyLaia IAM model
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README.md
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license: mit
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---
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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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- en
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# English printed text recognition
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This model performs Handwritten Text Recognition in English.
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## Model description
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The model has been trained using the PyLaia library on the [IAM](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database) 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 | 0.32 | 1.26 | 6482 |
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| val | 6.50 | 19.12 | 1926 |
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| test | 7.68 | 19.82 | 1965 |
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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 [documentation](https://atr.pages.teklia.com/pylaia/).
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model
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Binary file (1.52 kB). View file
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syms.txt
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weights.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c5cd4f1157c2b7768fdef5eb0f3264270b477d111f964c7e78a1b18783d09ed
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size 42673218
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