Update README.md

README.md

@@ -17,7 +17,6 @@ metrics:
 pipeline_tag: image-segmentation
 ---
 
-
 # Doc-UFCN - Generic historical line detection
 
 The generic historical line detection model predicts text lines from document images.
@@ -25,12 +24,12 @@ The generic historical line detection model predicts text lines from document im
 ## Model description
 
 The model has been trained using the Doc-UFCN library on 10 historical document datasets including these public datasets:
-  * [Bozen](https://zenodo.org/record/218236)
-  * [cBAD2017 (READ)](https://zenodo.org/record/1491441)
-  * [cBAD2019](https://zenodo.org/record/2567398)
-  * [DIVA-HisDB](https://diuf.unifr.ch/main/hisdoc/diva-hisdb.html)
-  * [Horae](https://github.com/oriflamms/HORAE/)
-  * [ScribbleLens](https://www.openslr.org/84/)
+  * [Bozen](https://zenodo.org/record/218236);
+  * [cBAD2017 (READ)](https://zenodo.org/record/1491441);
+  * [cBAD2019](https://zenodo.org/record/2567398);
+  * [DIVA-HisDB](https://diuf.unifr.ch/main/hisdoc/diva-hisdb.html);
+  * [Horae](https://github.com/oriflamms/HORAE/);
+  * [ScribbleLens](https://www.openslr.org/84/).
 
 It has been trained on images with their largest dimension equal to 768 pixels, keeping the original aspect ratio.
 
@@ -38,8 +37,8 @@ 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] |
-| ----------------------- | ----: | ----: | ------: | -------: | ----------: |
+| dataset                 | 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       |
@@ -52,7 +51,7 @@ The model has been trained to reduce mergers in predictions (see the [paper](htt
 
 ## How to use?
 
-Please refer to the Doc-UFCN library page (https://pypi.org/project/doc-ufcn/) to use this model.
+Please refer to the [Doc-UFCN library page](https://pypi.org/project/doc-ufcn/) to use this model.
 
 ## Cite us!
 
@@ -69,7 +68,7 @@ Please refer to the Doc-UFCN library page (https://pypi.org/project/doc-ufcn/) t
 ```
 
 ```bibtex
-@inproceedings{boillet2020,
+@inproceedings{doc_ufcn2021,
     author = {Boillet, Mélodie and Kermorvant, Christopher and Paquet, Thierry},
     title = {{Multiple Document Datasets Pre-training Improves Text Line Detection With
               Deep Neural Networks}},