## Meta-Album RSD Dataset (Mini)
*
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.
### Dataset Details
![](https://meta-album.github.io/assets/img/samples/RSD.png)
Meta Album ID: REM_SEN.RSD
Meta Album URL: [https://meta-album.github.io/datasets/RSD.html](https://meta-album.github.io/datasets/RSD.html)
Domain ID: REM_SEN
Domain Name: Remote Sensing
Dataset ID: RSD
Dataset Name: RSD
Short Description: Remote sensing dataset
\# Classes: 38
\# Images: 1520
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/](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/](https://meta-album.github.io/)
### 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}
}
```
### 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}
}
```
### More
For more information on the Meta-Album dataset, please see the [[NeurIPS 2022 paper]](https://meta-album.github.io/paper/Meta-Album.pdf)
For details on the dataset preprocessing, please see the [[supplementary materials]](https://openreview.net/attachment?id=70_Wx-dON3q&name=supplementary_material)
Supporting code can be found on our [[GitHub repo]](https://github.com/ihsaan-ullah/meta-album)
Meta-Album on Papers with Code [[Meta-Album]](https://paperswithcode.com/dataset/meta-album)
### Other versions of this dataset
[[Micro]](https://www.openml.org/d/44277) [[Extended]](https://www.openml.org/d/44341)