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A global dataset for cloud and cloud shadow semantic understanding

Introduction  • Install  • Citation  • Acknowledgment

A Python package that provides access to the cloudSEN12 dataset utilizing PySTAC. It also includes the UnetMobV2 model's weights. See CloudSEN12 website for examples.

Install

pip install cloudsen12

Citation

@article{aybar2022cloudsen12,
  title={CloudSEN12-a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2},
  author={Aybar, Cesar and Ysuhuaylas, Luis and Loja, Jhomira and Gonzales, Karen and Herrera, Fernando and Yali, Roy and Flores, Angie and Diaz, Lissette and Cuenca, Nicole and Espinoza, Wendy and Prudencio, Fernando and Llactayo, Valeria and Montero, David and Sudmanns, Martin and Tiede, Dirk and Mateo-García, Gonzalo and Gómez-Chova, Luis},
  year={2022},
  publisher={EarthArXiv}
}

Acknowledgment

This project gratefully acknowledges:

for computing resources

models's People

Contributors

csaybar avatar gonzmg88 avatar

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Watchers

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models's Issues

UNet model weights

Hi! Could you be so kind to dump the UNet-MobileNet weights somewhere to download?

some conflicts in the code and the results in the paper

In the code you have shared, i.e., the unet_mobilenetv2.ipynb (or .py), it doesn't seem like the entire code reproduces the results in the paper. The paper gives binary segmentation results (cloud/no cloud, valid/invalid/ etc.), but your code is for multi-class segmentation. Also, the metrics classes are not for the results you have presented.
So, am I looking at the wrong code? Have I found the wrong code, and is the correct one somewhere else in the repo?

I have one more concern: in the Unet model that you have initialized, you have not applied any activation at the output, and during the validation, while calculating the metrics, you take the arg max (without the softmax across the classes; see line 359 in the py file), in such the case the metrics calculation can be incorrect. Please let me know if I am wrong here or if I am missing something.

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