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Update README.md

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To run the script, either the GDAL or the rasterio package should be installed. The TensorFlow v1 package should also be installed. The script is tested with Python 3.6, TensorFlow 1.15, and Ubuntu 16.04.
**Note**: BigEarthNet-MM patches with high density snow, cloud and cloud shadow are not included in the training, test and validation sets constructed by the provided scripts (see the list of patches with seasonal snow [here](http://bigearth.net/static/documents/patches_with_seasonal_snow.csv) and that of cloud and cloud shadow [here](http://bigearth.net/static/documents/patches_with_cloud_and_shadow.csv)).
**Note**: In the experiments, we did not use the Sentinel-2 patches that are fully covered by seasonal snow, cloud, and cloud shadow. Thus, they are not included in the training, test and validation sets constructed by the provided scripts (see the list of Sentinel-2 patches with seasonal snow [here](http://bigearth.net/static/documents/patches_with_seasonal_snow.csv) and that of cloud and cloud shadow [here](http://bigearth.net/static/documents/patches_with_cloud_and_shadow.csv)).
## License
The BigEarthNet Archive is licensed under the **Community Data License Agreement – Permissive, Version 1.0** ([Text](https://cdla.io/permissive-1-0/)).
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