SBB
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sbb_binarization

pixelwise-segmentation

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cneud commited on Oct 7, 2022

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 This is a CNN model for document image binarization. It can be
 used to convert all pixels in a color or grayscale document image
-to only black or white pixels. The main purpose is to improve the
 contrast between foreground (text) and background (paper) for
 purposes of OCR. The model is based on a `ResNet50-Unet` model.
 # Results
 In the *DocEng’2021 Time-Quality Binarization Competition*
 ([paper](https://dib.cin.ufpe.br/docs/DocEng21_bin_competition_report.pdf)),
-the model ranked 12 times under the top 8 of 63 methods in the, winning 2 tasks.
 In the *ICDAR 2021 Competition on Time-Quality Document Image
 Binarization* ([paper](https://dib.cin.ufpe.br/docs/papers/ICDAR2021-TQDIB_final_published.pdf)),

 This is a CNN model for document image binarization. It can be
 used to convert all pixels in a color or grayscale document image
+to only black or white pixels. The main aim is to improve the
 contrast between foreground (text) and background (paper) for
 purposes of OCR. The model is based on a `ResNet50-Unet` model.
 # Results
 In the *DocEng’2021 Time-Quality Binarization Competition*
 ([paper](https://dib.cin.ufpe.br/docs/DocEng21_bin_competition_report.pdf)),
+the model ranked 12 times under the top 8 of 63 methods, winning 2 tasks.
 In the *ICDAR 2021 Competition on Time-Quality Document Image
 Binarization* ([paper](https://dib.cin.ufpe.br/docs/papers/ICDAR2021-TQDIB_final_published.pdf)),