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@@ -72,6 +72,8 @@ Training data comes from: [ENC-PSL/odil-medieval-folio-illumination-bin-dataset]
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  ## Distribution of data
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  - illuminated
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  - train: 519
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  - dev : 112
@@ -81,6 +83,10 @@ Training data comes from: [ENC-PSL/odil-medieval-folio-illumination-bin-dataset]
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  - dev : 111
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  - test : 112
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  # What counts as "illuminated"?
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  ### Positive (illuminated)
 
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  ## Distribution of data
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+ ## Distribution of data
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+
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  - illuminated
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  - train: 519
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  - dev : 112
 
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  - dev : 111
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  - test : 112
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+ > **Data augmentation.** During training, data augmentation was applied to the training split only in order to improve robustness and reduce overfitting.
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+ > The augmentation pipeline included random horizontal flips, small random rotations up to 5°, and light color jittering with brightness `0.12`, contrast `0.12`, saturation `0.08`, and hue `0.02`.
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+ > Validation and test images were evaluated without augmentation.
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+
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  # What counts as "illuminated"?
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  ### Positive (illuminated)