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@@ -26,11 +26,11 @@ It achieves the following results on the evaluation set on DIBCO metrics:
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  For more information on DIBCO metrics, see the [paper](https://ieeexplore.ieee.org/document/8270159) in which they were introduced.
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- **Warning:** This model only accepts images with a resolution of 640 due to compute constraints during training.
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  ## Model description
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- This model is part of on-going research on pure semantic segmentation models as a formulation of document image binarization.
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  ## Intended uses & limitations
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  For more information on DIBCO metrics, see the [paper](https://ieeexplore.ieee.org/document/8270159) in which they were introduced.
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+ **Warning:** This model only accepts images with a resolution of 640 due to compute constraints on Colab free tier during training.
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  ## Model description
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+ This model is part of on-going research on pure semantic segmentation models as a formulation of document image binarization (DIBCO).
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  ## Intended uses & limitations
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