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README.md
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@@ -78,6 +78,6 @@ This is the version of the SelvaBox dataset that has been pre-processed and pres
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The dataset is made of 14 rasters resampled at 4.5 cm GSD, from three different countries: Brazil, Ecuador and Panama. It comprises over 83 000 human bounding box annotations for tropical tree crowns in dense canopies.
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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
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Link to our paper will come soon.
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The dataset is made of 14 rasters resampled at 4.5 cm GSD, from three different countries: Brazil, Ecuador and Panama. It comprises over 83 000 human bounding box annotations for tropical tree crowns in dense canopies.
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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).
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Link to our paper will come soon.
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