Update README.md

README.md

@@ -101,6 +101,17 @@ The dataset is made of 14 rasters resampled at 4.5 cm GSD, from three different
 <!-- Provide a longer summary of what this dataset is. -->
 
 Training tiles are 3555x3555 pixels, while validation and test tiles are 1777x1777 pixels, equivalent to 80x80 meters spatial extent. There is 50% overlap between train and validation tiles, and 75% between test tiles (to ensure that the largest trees of 50+ meters in diameter will fit entirely in at least one tile).
+The table below summarizes the information on the three splits. Note that the # Annotations reported is larger than 83000 due to the overlap between tiles, which duplicates annotations. 
+There is also a similar effect regarding the # Tiles: there are more test tiles than train or valid but that's because of the 75% overlap between tiles, compared to 50%.
+
+| Split | Tile Size (px) | Tile Size (m) | Overlap | # Tiles | # Annotations | Geographic Area % of total dataset|
+| ----- | -------------- | ------------- | ------- | ------- | ------------- | ------------------- |
+| Train | 3555           | 160.0 m       |    50%     | 585     | 232,071       | ~74%               |
+| Valid | 1777           | 80.0 m        |    50%     | 387     | 38,651        | ~13%                |
+| Test  | 1777           | 80.0 m        |    75%     | 1,477   | 161,188       | ~13%               |
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 - **Curated by:** Will be added after double-blind review.
 - **Funded by [optional]:** Will be added after double-blind review.
@@ -135,7 +146,7 @@ Training tiles are 3555x3555 pixels, while validation and test tiles are 1777x17
 
 <!-- Motivation for the creation of this dataset. -->
 
-[More Information Needed]
+Will be added after double-blind review.
 
 ### Source Data