Update README.md

README.md

@@ -30,10 +30,19 @@ Trained on ImageNet-1k and fine-tuned on gold standard annotations and outputs f
 - **Model type:** Image classification /feature backbone
 - **Finetuned from model:** https://pytorch.org/vision/main/models/generated/torchvision.models.resnet152.html
 
-## Uses
+### Classes and labels
+
+- 0: no
+- 1: railspace
+- 2: building
+- 3: railspace & building
 
+## Uses
 
-This fine-tuned version of the model is an output of the MapReader pipeline. It was used to classify 'patch' images (cells/regions) of scanned nineteenth-century series maps of Britain provided by the National Library of Scotland (learn more [here](https://maps.nls.uk/os/)). We classified patches to indicate the presence of buildings and railway infrastructure. See [our paper](https://dl.acm.org/doi/10.1145/3557919.3565812) for more details about labels.
+This fine-tuned version of the model is an output of the MapReader pipeline. 
+It was used to classify 'patch' images (cells/regions) of scanned nineteenth-century series maps of Britain provided by the National Library of Scotland (learn more [here](https://maps.nls.uk/os/)). 
+We classified patches to indicate the presence of buildings and railway infrastructure. 
+See [our paper](https://dl.acm.org/doi/10.1145/3557919.3565812) for more details about labels.
 
 ## How to Get Started with the Model in MapReader