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- ---
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- license: cc-by-nc-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ task_categories:
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+ - image-segmentation
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+ language:
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+ - en
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+ tags:
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+ - Cloud Detection
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+ - Cloud Segmentation
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+ - Remote Sensing Images
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+ - Satellite Images
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+ - HRC-WHU
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+ - CloudSEN12-High
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+ - GF12MS-WHU
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+ - L8-Biome
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+ ---
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+
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+ # Cloud-Adapter-Datasets
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+
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+ This dataset card aims to describe the datasets used in the [cloudseg](https://github.com/XavierJiezou/cloudseg), a collection of high-resolution satellite images and semantic segmentation masks for cloud detection and related tasks.
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+
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+ ## Install
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+
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+ ```bash
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+ pip install huggingface-hub
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+ ```
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+
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+ ## Usage
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+
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+ ```bash
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+ # Step 1: Download datasets
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+ huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include hrc_whu.zip
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+ huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include gf12ms_whu.zip
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+ huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include gf12ms_whu_gf2.zip
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+ huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include cloudsen12_high/*
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+ huggingface-cli download --repo-type dataset XavierJiezou/cloudseg-datasets --local-dir data --include l8_biome.zip
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+
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+ # Step 2: Extract datasets
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+ unzip hrc_whu.zip -d hrc_whu
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+ unzip gf12ms_whu.zip -d gf12ms_whu
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+ cat chunk_* > cloudsen12_high.zip
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+ unzip cloudsen12_high.zip -d cloudsen12_high
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+ unzip l8_biome.zip -d l8_biome
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+ ```
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+
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+ ## Source Data
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+
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+ - hrc_whu: https://github.com/dr-lizhiwei/HRC_WHU
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+ - gf12ms_whu: https://github.com/whu-ZSC/GF1-GF2MS-WHU
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+ - cloudsen12_high: https://huggingface.co/datasets/csaybar/CloudSEN12-high
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+ - l8_biome: https://landsat.usgs.gov/landsat-8-cloud-cover-assessment-validation-data
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+
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+ ## Citation
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+
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+ ```bib
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+ @article{hrc_whu,
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+ title = {Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors},
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+ journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
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+ volume = {150},
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+ pages = {197-212},
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+ year = {2019},
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+ author = {Zhiwei Li and Huanfeng Shen and Qing Cheng and Yuhao Liu and Shucheng You and Zongyi He},
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+ }
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+
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+ @article{gf12ms_whu,
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+ author={Zhu, Shaocong and Li, Zhiwei and Shen, Huanfeng},
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+ journal={IEEE Transactions on Geoscience and Remote Sensing},
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+ title={Transferring Deep Models for Cloud Detection in Multisensor Images via Weakly Supervised Learning},
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+ year={2024},
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+ volume={62},
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+ pages={1-18},
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+ }
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+
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+ @article{cloudsen12_high,
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+ title={CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2},
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+ 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},
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+ journal={Scientific data},
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+ volume={9},
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+ number={1},
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+ pages={782},
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+ year={2022},
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+ }
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+
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+ @article{l8_biome,
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+ title = {Cloud detection algorithm comparison and validation for operational Landsat data products},
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+ journal = {Remote Sensing of Environment},
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+ volume = {194},
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+ pages = {379-390},
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+ year = {2017},
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+ 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}
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+ }
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+ ```
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+
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+ ## Contact
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+
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+ For questions, please contact Xavier Jiezou at xuechaozou (at) foxmail (dot) com.