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+# CloudSEN12
+## A Benchmark Dataset for Cloud Semantic Understanding
+
+![CloudSEN12 Images](https://cloudsen12.github.io/thumbnails/cloudsen12.gif)
+
+CloudSEN12 is a **LARGE dataset** (~1 TB) for cloud semantic understanding that consists of 49,400 image patches (IP) that are
+evenly spread throughout all continents except Antarctica. Each IP covers 5090 x 5090 meters and contains data from Sentinel-2 
+levels 1C and 2A, hand-crafted annotations of thick and thin clouds and cloud shadows, Sentinel-1 Synthetic Aperture Radar (SAR), 
+digital elevation model, surface water occurrence, land cover classes, and cloud mask results from six cutting-edge 
+cloud detection algorithms.
+
+CloudSEN12 is designed to support both weakly and self-/semi-supervised learning strategies by including three distinct forms of 
+hand-crafted labeling data: high-quality, scribble and no-annotation. For more details on how we created the dataset see our 
+paper.
+
+Ready to start using [CloudSEN12](https://cloudsen12.github.io/)?
+
+[Download Dataset](https://cloudsen12.github.io/download.html)
+
+[Paper - Scientific Data](https://www.nature.com/articles/s41597-022-01878-2)
+
+[Inference on a new S2 image](https://colab.research.google.com/github/cloudsen12/examples/blob/master/example02.ipynb)
+
+[Enter to cloudApp](https://github.com/cloudsen12/CloudApp)
+
+[CloudSEN12 in Google Earth Engine](https://gee-community-catalog.org/projects/cloudsen12/)
+
+This work has been partially supported by the Spanish Ministry of Science and Innovation project PID2019-109026RB-I00 (MINECO-ERDF) and 
+the Austrian Space Applications Programme within the [SemantiX project](https://austria-in-space.at/en/projects/2019/semantix.php).