Update README.md

README.md

@@ -21,20 +21,23 @@ language:
 
 # Doc-UFCN - NorHand v1 - Line detection
 
-The NorHand v1 line detection model predicts text lines from NorHand document images. This model was developed during the [HUGIN-MUNIN project](https://hugin-munin-project.github.io/).
+The NorHand v1 line detection model predicts the following elements from NorHand document images:
+- vertical text lines;
+- horizontal text lines.
+
+This model was developed during the [HUGIN-MUNIN project](https://hugin-munin-project.github.io/).
 
 ## Model description
 
-The model has been trained using the Doc-UFCN library on NorHand document images.
+The model has been trained using the Doc-UFCN library on the NorHand dataset.
 It has been trained on images with their largest dimension equal to 768 pixels, keeping the original aspect ratio.
-The model predicts two classes: vertical and horizontal text lines.
 
 ## Evaluation results
 
 The model achieves the following results:
 
 | set   | class      | IoU   | F1    | AP@[.5] | AP@[.75] | AP@[.5,.95] |
-| ----- | ---------- | ----: | ----: | ------: | -------: | ----------: |
+| :---- | :--------- | ----: | ----: | ------: | -------: | ----------: |
 | train | vertical   | 88.29 | 89.67 | 71.37   | 33.26    | 36.32       |
 |       | horizontal | 69.81 | 81.35 | 91.73   | 36.62    | 45.67       |
 | val   | vertical   | 73.01 | 75.13 | 46.02   | 4.99     | 15.58       |
@@ -44,12 +47,12 @@ The model achieves the following results:
 
 ## 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!
 
 ```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}},