Update README.md

README.md

@@ -11,6 +11,8 @@ 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.
 
+For further details, have a look at [sbb_binarization](https://github.com/qurator-spk/sbb_binarization) on GitHub.
+
 # Results
 In the *DocEng’2021 Time-Quality Binarization Competition* 
 ([paper](https://dib.cin.ufpe.br/docs/DocEng21_bin_competition_report.pdf)), 
@@ -20,8 +22,6 @@ 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, winning 1 task.
 
-For details, see [sbb_binarization](https://github.com/qurator-spk/sbb_binarization) on GitHub.
-
 # Weights
 We provide a `saved model` for Tensorflow2.