Update README.md

README.md

@@ -17,7 +17,7 @@ You can also find [project page for the paper here.](https://wsoda.telecom-paris
 This dataset contains 5955 images (from [WikiCommons](https://commons.wikimedia.org/wiki/Accueil)) : a train set of 2978 images and a test set of 2977 images (for classification task). 1480 of the 2977 test images are annotated with bounding boxes for 10 visual categories.
 The classes are ‘angel’,‘beard’,‘capital’,‘Child_Jesus’,‘crucifixion_of_Jesus’,‘Mary’,‘nudity’,‘ruins’,‘Saint_Sebastien’,‘turban’.
 
-[Most of the methods](https://arxiv.org/abs/2008.01178) only run evaluation on the easiest 7 classes : ‘angel’,‘Child_Jesus’,‘crucifixion_of_Jesus’,‘Mary’,‘nudity’, ‘ruins’,‘Saint_Sebastien’.
+Most of the methods only run evaluation on the easiest 7 classes : ‘angel’,‘Child_Jesus’,‘crucifixion_of_Jesus’,‘Mary’,‘nudity’, ‘ruins’,‘Saint_Sebastien’.
 
 In this folder you can find 3 other folders, the JPEGImages one contains the JPEG images. 
 The Annotations contain the bounding boxes in a PASCAL VOC template (XML file).
@@ -26,6 +26,14 @@ The ImageSets/Main folder contain 3 files :
 - test.txt : contain the name of the images annotated with an instance level
 - IconArt_v2.csv the class information per image (0 or 1 per class) but also if the image below to the train set or test one and then if the image is associated to bounding boxes annotations (Anno column).
 
+## Exemples of prediction on test images
+
+Predictions on the test images for a [model](https://arxiv.org/abs/2008.01178) trained in a weakly supervised way on the train set. 
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+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6582b7dd75754a803e484487/MRduPP4oXtSTXSI065DSn.jpeg)
+
 ## Reference
 
 If you use IconArt please cite the related paper: