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Datasets:
XavierJiezou
/
cloudseg-datasets

Tasks:
Image Segmentation
Languages:
English
Tags:
Cloud Detection
Cloud Segmentation
Remote Sensing Images
Satellite Images
HRC-WHU
CloudSEN12-High
License:
Dataset card Files Community
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    UnidentifiedImageError
Message:      cannot identify image file <_io.BytesIO object at 0x7f83a8a93400>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2097, in __iter__
                  example = _apply_feature_types_on_example(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1635, in _apply_feature_types_on_example
                  decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2044, in decode_example
                  return {
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2045, in <dictcomp>
                  column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1405, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 185, in decode_example
                  image = PIL.Image.open(bytes_)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/PIL/Image.py", line 3339, in open
                  raise UnidentifiedImageError(msg)
              PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f83a8a93400>

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Cloudseg-Datasets

This dataset card aims to describe the datasets used in the cloudseg.

Install 

pip install huggingface-hub

Usage 

# 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

Citation 

@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.

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