Update README.md

README.md

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 - Data from 449 distinct closed forests in 40, mostly southern, French departments
 - 135,569 patches (50m*50m), totalling 339km² of exploitable data.
 - Two modalities:
-    - High resolution aerial images (250x250p at 0.2 m spatial resolution) totalling  34 Go, in GeoTIFF format.
     - High density aerial Lidar point clouds (10 pulse/m²) totalling 118 Go, in LAZ format.
+    - High resolution aerial images (250x250p at 0.2 m spatial resolution) totalling  34 Go, in GeoTIFF format.
 - Patches of pure species forest, with a single tree species label, for classification tasks.
 - 13 semantic classes, hierarchically grouping 18 tree species from 9 tree genus.
 - A reference train/val/test split with class stratification
@@ -50,6 +50,13 @@ tags:
 
 ## Dataset structure
 
+The PureForest dataset consists of a total of 135,569 patches: 69111 in the train set, 13523 in the validation set, and 52935 in the test set.
+Each patch includes a high-resolution aerial image (250x250) at 0.2 m resolution, and a point cloud of high density aerial Lidar (10 pulses/m², ~40pts/m²).
+Band order is Near Infrared, Red, Green, Blue. for convenience, the Lidar point clouds are vertically colorized with the aerial images.
+
+Lidar points clouds            |  Aerial imagery
+:-------------------------:|:-------------------------:
+![]()  |  ![]()
 
 
 ## Citation