Datasets:

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@@ -30,7 +30,7 @@ and high resolution aerial imagery with a spatial resolution of 0.2 m.
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  This dataset includes 135,569 patches, each measuring 50 m x 50 m, covering a cumulative exploitable area of 339 km².
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  Each patch represents a monospecific forest, annotated with a single tree species labeled to facilitate classification tasks.
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- The proposed classification has 13 semantic classes, hierarchically grouping 18 tree species from 9 different tree genera.
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  A reference train/val/test split is provided.
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  This dataset includes 135,569 patches, each measuring 50 m x 50 m, covering a cumulative exploitable area of 339 km².
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  Each patch represents a monospecific forest, annotated with a single tree species labeled to facilitate classification tasks.
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+ The proposed classification has 13 semantic classes, hierarchically grouping 18 tree species.
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  A reference train/val/test split is provided.
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