Datasets:

IGNF
/

PureForest

@@ -50,7 +50,7 @@ VHR Aerial images (Near-Infrared, Red, Green) [ORTHO HR]       |   ALS points cl
 Annotations were made at the forest level, and considering only monospecific forests. A semi-automatic approach was adopted in which forest polygons
 were selected and then curated by expert photointerpreters from the IGN. The annotation polygons were selected from the [BD Forêt](https://inventaire-forestier.ign.fr/spip.php?article646),
 a forest vector database of tree species occupation in France. Ground truths from the [French National Forest Inventory](https://inventaire-forestier.ign.fr/?lang=en)
-were also used to improve the condidence in the purity of the forests.
 | Class | Train (%) | Val (%) | Test (%) |
 |-------|------------:|----------:|-----------:|

 Annotations were made at the forest level, and considering only monospecific forests. A semi-automatic approach was adopted in which forest polygons
 were selected and then curated by expert photointerpreters from the IGN. The annotation polygons were selected from the [BD Forêt](https://inventaire-forestier.ign.fr/spip.php?article646),
 a forest vector database of tree species occupation in France. Ground truths from the [French National Forest Inventory](https://inventaire-forestier.ign.fr/?lang=en)
+were also used to improve the confidence in the purity of the forests.
 | Class | Train (%) | Val (%) | Test (%) |
 |-------|------------:|----------:|-----------:|