Add dataset summary figures for roads

README.md

@@ -13,4 +13,18 @@ For a pixel with a 10-meter resolution (representing 100 square meters), the lab
 
 # Use Case
 This dataset is intended for training machine learning models for road detection, road network extraction and mapping, 
-urban planning and infrastructure development, as well as disaster response and accessibility analysis.
+urban planning and infrastructure development, as well as disaster response and accessibility analysis.
+
+<!-- phi2fm-dataset-figures:start -->
+## Dataset Visual Summary
+
+- Samples: `36`
+- Image shape: `(1, 5119, 5119)`
+- Label shape: `(1, 5119, 5119)`
+- Approximate mean label coverage: `0.006%`
+- Approximate mean positive-pixel fraction: `0.0194`
+
+![Representative samples](./figures/roads_preview_grid.png)
+
+![Label distribution summary](./figures/roads_label_summary.png)
+<!-- phi2fm-dataset-figures:end -->