huehfhed

README.md

@@ -4,40 +4,32 @@ license: mit
 tags:
 - Doc-UFCN
 - PyTorch
-- object-detection
-- dla
-- historical
-- handwritten
+- Object detection
 metrics:
 - IoU
 - F1
 - AP@.5
 - AP@.75
 - AP@[.5,.95]
-pipeline_tag: image-segmentation
-language:
-- 'no'
 ---
 
-# Doc-UFCN - NorHand v1 - Line detection
 
-The NorHand v1 line detection model predicts the following elements from NorHand document images:
-- vertical text lines;
-- horizontal text lines.
+# Hugin-Munin line detection
 
-This model was developed during the [HUGIN-MUNIN project](https://hugin-munin-project.github.io/).
+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/).
 
 ## Model description
 
-The model has been trained using the Doc-UFCN library on the NorHand dataset.
+The model has been trained using the Doc-UFCN library on Hugin-Munin 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.
 
 ## 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       |
@@ -45,14 +37,14 @@ The model achieves the following results:
 | test  | vertical   | 78.62 | 80.03 | 59.93   | 15.90    | 24.11       |
 |       | horizontal | 63.59 | 76.49 | 95.93   | 24.18    | 41.45       |
 
-## How to use?
+## 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!
+# Cite us!
 
 ```bibtex
-@inproceedings{doc_ufcn2021,
+@inproceedings{boillet2020,
     author = {Boillet, Mélodie and Kermorvant, Christopher and Paquet, Thierry},
     title = {{Multiple Document Datasets Pre-training Improves Text Line Detection With
               Deep Neural Networks}},
@@ -62,4 +54,4 @@ Please refer to the [Doc-UFCN library page](https://pypi.org/project/doc-ufcn/)
     pages = {2134-2141},
     doi = {10.1109/ICPR48806.2021.9412447}
 }
-```
+```