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README.md

@@ -3,6 +3,30 @@ tags:
 - image-to-image
 license: apache-2.0
 ---
-This is a model for document image binarization. 
+# About `sbb_binarization`
 
-For details, see [https://github.com/qurator-spk/sbb_binarization](sbb_binarization).
+This is a 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 
+OCR-related quality scores, and won 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)), 
+the model ranked 2 times under the top 20 of 61 methods, 
+and won 1 task.
+
+For details, see [sbb_binarization](https://github.com/qurator-spk/sbb_binarization) on GitHub.
+
+# Weights
+We provide a `saved model` for Tensorflow2.
+
+| Model | Downloads
+| -------------| ------------------------
+| `2021_03_09` | [`saved_model`](https://huggingface.co/SBB/sbb_binarization/tree/main/saved_model)