Update README.md

README.md

@@ -39,7 +39,7 @@ It has been trained on images with their largest dimension equal to 768 pixels,
 The model achieves the following results on the test sets:
 
 |                         | IoU   | F1    | AP@[.5] | AP@[.75] | AP@[.5,.95] |
-| ----------------------- | ----- | ----- | ------- | -------- | ----------- |
+| ----------------------- | ----: | ----: | ------: | -------: | ----------: |
 | Bozen                   | 60.15 | 75.10 | 97.14   | 3.79     | 27.50       |
 | cBAD2017 (READ) Complex | 46.79 | 60.35 | 56.01   | 3.40     | 16.26       |
 | cBAD2017 (READ) Simple  | 53.97 | 68.43 | 57.26   | 8.45     | 19.39       |
@@ -50,7 +50,7 @@ The model achieves the following results on the test sets:
 
 The model has been trained to reduce mergers in predictions (see the [paper](https://link.springer.com/article/10.1007/s10032-022-00395-7) for more details on training). Therefore, despite slightly low evaluation values, the model correctly detects lines on a wide variety of historical and modern manuscript documents.
 
-## How to use
+## How to use?
 
 Please refer to the Doc-UFCN library page (https://pypi.org/project/doc-ufcn/) to use this model.