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DarthReca
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california_burned_areas

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Image Segmentation

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DarthReca commited on Jan 25, 2023

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@@ -21,9 +21,9 @@ size_categories:
 This dataset contains images from Sentinel-2 satellites taken before and after a wildfire.
 The ground truth masks are provided by the California Department of Forestry and Fire Protection and they are mapped on the images.
-### Supported Tasks and Leaderboards
-[More Information Needed]
 ## Dataset Structure
@@ -37,7 +37,7 @@ The ground truth masks are provided by the California Department of Forestry and
 ### Data Splits
-[More Information Needed]
 ## Dataset Creation
@@ -49,7 +49,7 @@ The ground truth masks are provided by the California Department of Forestry and
 #### Initial Data Collection and Normalization
-[More Information Needed]
 ### Annotations

 This dataset contains images from Sentinel-2 satellites taken before and after a wildfire.
 The ground truth masks are provided by the California Department of Forestry and Fire Protection and they are mapped on the images.
+### Supported Tasks
+The dataset is designed to do binary semantic segmentation of burned vs unburned areas.
 ## Dataset Structure
 ### Data Splits
+There are 5 random splits whose names are: 0, 1, 2, 3 and 4.
 ## Dataset Creation
 #### Initial Data Collection and Normalization
+Data are collected directly from Copernicus Open Access Hub through the API. The band files are aggregated into one single matrix.
 ### Annotations