RSD Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID REM_SEN.RSD
Domain ID REM_SEN
Domain Name Remote Sensing
Set Number 2
Dataset ID RSD
Dataset Name RSD
Short Description Remote sensing dataset
Long Description RSD46 dataset (https://github.com/RSIA-LIESMARS-WHU/RSD46-WHU) is collected from Google Earth and Tianditu. The collection contains 46 scene categories, with a total of 117 000 images. Each scene category has between 500 - 3000 images. The original resolution are 256x256 px or 512x512 px. We have created preprocessed version of RSD for Meta-Album by resizing the original dataset to 128x128 px.
# Classes 43
# Images 43825
Keywords remote sensing, satellite image, aerial image, land cover
Data Format images
Image size 128x128
License
(original data release)		 Open for research and non-profit purposes
License
(Meta-Album data release)		 CC BY-NC 4.0
License URL
(Meta-Album data release)		 https://creativecommons.org/licenses/by-nc/4.0/
Source RSD46-WHU
Source URL https://github.com/RSIA-LIESMARS-WHU/RSD46-WHU
Original Author Yang Long, Yiping Gong, Zhifeng Xiao, and Qing Liu, Deren Li, Chunshan Wei, Gefu Tang and Junyi Liu
Original contact longyang@whu.edu.cn
Meta Album author Phan Anh VU
Created Date 01 March 2022
Contact Name Ihsan Ullah
Contact Email meta-album@chalearn.org
Contact URL https://meta-album.github.io/

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Dataset Info Datasheet

Download Dataset from OpenML

Dataset Version OpenML ID
Micro 44277 Download
Mini 44307 Download
Extended 44341 Download

Code to download dataset using OpenML API

      # import openml
      import openml
  
      # download dataset with DATASET_ID. DATASET_ID is OpenML ID
      dataset = openml.datasets.get_dataset(DATASET_ID)
  
      # display dataset info
      print(dataset.name)

Sample Images

Cite this dataset 

@ARTICLE{7827088,
  author={Long, Yang and Gong, Yiping and Xiao, Zhifeng and Liu, Qing},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks}, 
  year={2017},
  volume={55},
  number={5},
  pages={2486-2498},
  doi={10.1109/TGRS.2016.2645610}}

@article{xiao2017high,
  title={High-resolution remote sensing image retrieval based on CNNs from a dimensional perspective},
  author={Xiao, Zhifeng and Long, Yang and Li, Deren and Wei, Chunshan and Tang, Gefu and Liu, Junyi},
  journal={Remote Sensing},
  volume={9},
  number={7},
  pages={725},
  year={2017},
  publisher={Multidisciplinary Digital Publishing Institute}
}
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Cite Meta-Album

  @inproceedings{meta-album-2022,
    title={Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification},
    author={Ullah, Ihsan and Carrion, Dustin and Escalera, Sergio and Guyon, Isabelle M and Huisman, Mike and Mohr, Felix and van Rijn, Jan N and Sun, Haozhe and Vanschoren, Joaquin and Vu, Phan Anh},
    booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    url = {https://meta-album.github.io/},
    year = {2022}
  }
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