---
license: cc-by-nc-4.0
task_categories:
- image-segmentation
language:
- en
tags:
- Cloud Detection
- Cloud Segmentation
- Remote Sensing Images
- Satellite Images
- HRC-WHU
- CloudSEN12-High
- GF12MS-WHU
- L8-Biome
---

# Cloudseg-Datasets

This dataset card aims to describe the datasets used in the [cloudseg](https://github.com/XavierJiezou/cloudseg).

## Install

```bash
pip install huggingface-hub
```

## Usage

```bash
# Step 1: Download datasets
huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include hrc_whu.zip 
huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include gf12ms_whu.zip
huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include gf12ms_whu_gf2.zip
huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include cloudsen12_high/*
huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include l8_biome.zip

# Step 2: Extract datasets
unzip hrc_whu.zip -d hrc_whu
unzip gf12ms_whu.zip -d gf12ms_whu
cat chunk_* > cloudsen12_high.zip
unzip cloudsen12_high.zip -d cloudsen12_high
unzip l8_biome.zip -d l8_biome
```

## Source Data

- hrc_whu: https://github.com/dr-lizhiwei/HRC_WHU
- gf12ms_whu: https://github.com/whu-ZSC/GF1-GF2MS-WHU
- cloudsen12_high: https://huggingface.co/datasets/csaybar/CloudSEN12-high
- l8_biome: https://landsat.usgs.gov/landsat-8-cloud-cover-assessment-validation-data

## Citation

```bib
@article{hrc_whu,
title = {Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {150},
pages = {197-212},
year = {2019},
author = {Zhiwei Li and Huanfeng Shen and Qing Cheng and Yuhao Liu and Shucheng You and Zongyi He},
}

@article{gf12ms_whu,
  author={Zhu, Shaocong and Li, Zhiwei and Shen, Huanfeng},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Transferring Deep Models for Cloud Detection in Multisensor Images via Weakly Supervised Learning}, 
  year={2024},
  volume={62},
  pages={1-18},
}

@article{cloudsen12_high,
  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 Bautista, Lesly and Yali, Roy and Flores, Angie and Diaz, Lissette and Cuenca, Nicole and others},
  journal={Scientific data},
  volume={9},
  number={1},
  pages={782},
  year={2022},
}

@article{l8_biome,
    title = {Cloud detection algorithm comparison and validation for operational Landsat data products},
    journal = {Remote Sensing of Environment},
    volume = {194},
    pages = {379-390},
    year = {2017},
    author = {Steve Foga and Pat L. Scaramuzza and Song Guo and Zhe Zhu and Ronald D. Dilley and Tim Beckmann and Gail L. Schmidt and John L. Dwyer and M. {Joseph Hughes} and Brady Laue}
}
```

## Contact

For questions, please contact Xavier Jiezou at xuechaozou (at) foxmail (dot) com.