Update README.md

README.md

@@ -12,15 +12,13 @@ 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* 
+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.
+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)), 
-the model ranked 2 times under the top 20 of 61 methods, 
-and won 1 task.
+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.