Update README.md

README.md

@@ -4,23 +4,26 @@ license: mit
 tags:
 - Doc-UFCN
 - PyTorch
-- Object detection
+- object-detection
+- dla
+- historical
+- handwritten
 metrics:
 - IoU
 - F1
 - AP@.5
 - AP@.75
 - AP@[.5,.95]
+pipeline_tag: image-segmentation
 ---
 
+# Doc-UFCN - NorHand v1 - Line detection
 
-# Hugin-Munin line detection
-
-The Hugin-Munin line detection model predicts text lines from Hugin-Munin document images. This model was developed during the [HUGIN-MUNIN project](https://hugin-munin-project.github.io/).
+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/).
 
 ## Model description
 
-The model has been trained using the Doc-UFCN library on Hugin-Munin document images.
+The model has been trained using the Doc-UFCN library on NorHand document images.
 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.
 
@@ -29,7 +32,7 @@ The model predicts two classes: vertical and horizontal text lines.
 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       |
@@ -54,4 +57,4 @@ Please refer to the Doc-UFCN library page (https://pypi.org/project/doc-ufcn/) t
     pages = {2134-2141},
     doi = {10.1109/ICPR48806.2021.9412447}
 }
-```
+```