Update README.md

README.md

@@ -13,13 +13,13 @@ In correspondence with the code we released on [GitHub](https://github.com/), th
 This folder contains the pretrained models, including:  
   
 - **ResNet18 Classification Backbone**: Pretrained on ImageNet (For more details, see the [PyTorch GitHub repository](https://github.com/pytorch/vision/tree/main/references/classification#resnet))  .  
-- **Binary Road Segmentation Model**: Initialized with the ImageNet classification backbone and trained using cascaded training with Swiss Map data.  
+- **Binary Road Segmentation Model**: Initialized with the ImageNet classification backbone and trained using cascaded training with [Swiss Map](https://www.swisstopo.admin.ch/en/national-map-1-25000) data.  
   
 ## Binary_road_segmentation  
-This folder contains the final model weights used for extracting roads from the Siegfried Map.  
+This folder contains the final model weights used for extracting roads from the [Siegfried Map](https://www.swisstopo.admin.ch/en/digital-siegfried-map-1-25000).  
   
 ## Road_classification_ensemble  
-This folder contains all the model weights for the final road classification ensemble.  
+This folder contains all the model weights for the final road classification ensemble trained on the [Siegfried Map](https://www.swisstopo.admin.ch/en/digital-siegfried-map-1-25000).  
   
 ## Citation  
 If you find our work useful or interesting, or if you use our code, please cite our paper as follows: