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@@ -33,6 +33,11 @@ The proposed classification has 13 semantic classes, hierarchically grouping 18
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  A reference train/val/test split is provided.
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  ## Dataset Structure
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  <hr style='margin-top:-1em; margin-bottom:0' />
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  The PureForest dataset consists of a total of 135,569 patches: 69111 in the train set, 13523 in the val set, and 52935 in the test set.
@@ -41,9 +46,6 @@ Band order is near-infrared, red, greeb, blue. For convenience, the Lidar point
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  Lidar and imagery data were acquired over several years in distinct programs, and consequently they are asynchrone: depending on the location, up to 3 years might separate them.
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- Lidar points clouds | Aerial imagery
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- :-------------------------:|:-------------------------:
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- ![](./imagery_18_classes.png) | ![](./lidar_18_classes.png)
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  ## Annotations
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  <hr style='margin-top:-1em; margin-bottom:0' />
 
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  A reference train/val/test split is provided.
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+ Lidar points clouds | Aerial imagery
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+ :-------------------------:|:-------------------------:
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+ ![](./imagery_18_classes.png) | ![](./lidar_18_classes.png)
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+
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+
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  ## Dataset Structure
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  <hr style='margin-top:-1em; margin-bottom:0' />
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  The PureForest dataset consists of a total of 135,569 patches: 69111 in the train set, 13523 in the val set, and 52935 in the test set.
 
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  Lidar and imagery data were acquired over several years in distinct programs, and consequently they are asynchrone: depending on the location, up to 3 years might separate them.
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  ## Annotations
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  <hr style='margin-top:-1em; margin-bottom:0' />