Update descriptions

app.py

@@ -553,7 +553,7 @@ def segmentation_lax_tab():
                 ## Description
                 ### Data
 
-                There are four example images from the UK Biobank.
+                There are four example images from the UK Biobank. Models were not trained supervisedly on these images.
 
                 ### Model
 
@@ -754,14 +754,14 @@ def landmark_tab():
                 ## Description
                 ### Data
 
-                There are four example images from the UK Biobank.
+                There are four example images from the UK Biobank. Models were not trained supervisedly on these images.
 
                 ### Model
 
                 The available models are finetuned on data from [Xue et al.](https://pubs.rsna.org/doi/10.1148/ryai.2021200197)
                 There are two types of landmark localisation models:
 
-                - **Heatmap**: predicts dense probability maps of landmarks
+                - **Heatmap**: predicts dense probability maps of landmarks (more accurate)
                 - **Coordinate**: predicts landmark coordinates directly
 
                 For each type, there are three models finetuned with seeds: 0, 1, 2.