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@@ -5,6 +5,10 @@ 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
@@ -12,17 +16,18 @@ language:
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  - 'no'
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  datasets:
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  - Teklia/NorHand_v2
 
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  ---
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- # NorHand v2 handwritten text recognition
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- This model performs Handwritten Text Recognition in Norwegian on historical documents.
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  ## Model description
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  The model was trained using the PyLaia library on the [NorHand v2 dataset](https://zenodo.org/records/10555698).
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- For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio. Vertical lines are discarded.
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  | split | N lines | N horizontal lines |
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  | ----- | ------: | -----------------: |
@@ -54,4 +59,4 @@ Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).
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  booktitle = "Submitted at ICDAR2024",
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  year = "2024"
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  }
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- ```
 
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  - PyLaia
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  - PyTorch
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  - Handwritten text recognition
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+ - Automatic text recognition
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+ - HTR
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+ - ATR
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+ - OCR
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  metrics:
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  - CER
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  - WER
 
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  - 'no'
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  datasets:
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  - Teklia/NorHand_v2
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+ pipeline_tag: image-to-text
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  ---
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+ # PyLaia - NorHand v2
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+ This model performs Handwritten Text Recognition in Norwegian. It was developed during the [HUGIN-MUNIN project](https://hugin-munin-project.github.io/).
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  ## Model description
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  The model was trained using the PyLaia library on the [NorHand v2 dataset](https://zenodo.org/records/10555698).
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+ Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
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  | split | N lines | N horizontal lines |
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  | ----- | ------: | -----------------: |
 
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  booktitle = "Submitted at ICDAR2024",
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  year = "2024"
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  }
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+ ```