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Add model trained on Esposalles (#1)
Browse files- Add model trained on Esposalles (5c5871e541e6b39dad54d1a97fc1f58cdead55ce)
Co-authored-by: Solène Tarride <[email protected]>
- README.md +33 -0
- language_model.arpa.gz +3 -0
- lexicon.txt +63 -0
- model +0 -0
- syms.txt +63 -0
- tokens.txt +63 -0
- weights.ckpt +3 -0
README.md
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---
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license: mit
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---
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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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- ca
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---
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# Catalan handwritten text recognition
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This model performs Handwritten Text Recognition in Catalan (19th century).
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## Model description
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The model has been trained using the PyLaia library on the [Esposalles](https://rrc.cvc.uab.es/?ch=10&com=introduction/) 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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| set | Language model | CER (%) | WER (%) | N lines |
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|:------|:---------------|:----------:|:-------:|----------:|
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| test | no | 0.76 | 2.62 | 757 |
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| test | yes | 1.04 | 3.38 | 757 |
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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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language_model.arpa.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:441de98cf792820f17109412e78dc4f956d72163198190991ee75faa65fd06d4
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size 1574104
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lexicon.txt
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<ctc> <ctc>
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# #
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0 0
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= =
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A A
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B B
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C C
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D D
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E E
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F F
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G G
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H H
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I I
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J J
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L L
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M M
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N N
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O O
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P P
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Q Q
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R R
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S S
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T T
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U U
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V V
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X X
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Y Y
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a a
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b b
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c c
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d d
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p p
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q q
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r r
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s s
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t t
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u u
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v v
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x x
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y y
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z z
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ç ç
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<unk> <unk>
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<space> <space>
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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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<ctc> 0
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= 12
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N 25
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<unk> 61
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<space> 62
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tokens.txt
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<ctc>
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<unk>
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<space>
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weights.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2682fa6a47fc5c0bae6c7add075dfec1a42f8b502311df5defb5aa0b3c4f1b4d
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size 42598044
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