## Meta-Album RESISC Dataset (Extended)
*
RESISC45 dataset(https://gcheng-nwpu.github.io/) gathers 700 RGB images of size 256x256 px for each of 45 scene categories. The data authors strive to provide a challenging dataset by increasing both within-class diversity and between-class similarity, as well as integrating many image variations. Even though RESISC45 does not propose a label hierarchy, it can be created from other common aerial image label organization scheme. We have preprocessed RESISC for Meta-Album by resizing the dataset to 128x128 px.
### Dataset Details
Meta Album ID: REM_SEN.RESISC
Meta Album URL: [https://meta-album.github.io/datasets/RESISC.html](https://meta-album.github.io/datasets/RESISC.html)
Domain ID: REM_SEN
Domain Name: Remote Sensing
Dataset ID: RESISC
Dataset Name: RESISC
Short Description: Remote sensing dataset
\# Classes: 45
\# Images: 31500
Keywords: remote sensing, satellite image, aerial image, land cover
Data Format: images
Image size: 128x128
License (original data release): CC-BY-NC 4.0
License URL(original data release): https://creativecommons.org/licenses/by-nc/4.0/
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: NWPU-RESISC45 Dataset
Source URL: https://gcheng-nwpu.github.io/
Original Author: Gong Cheng, Junwei Han, and Xiaoqiang Lu
Original contact: chenggong1119@gmail.com
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{DBLP:journals/corr/ChengHL17,
author = {Gong Cheng and Junwei Han and Xiaoqiang Lu},
title = {Remote Sensing Image Scene Classification: Benchmark and State of the Art},
journal = {CoRR},
volume = {abs/1703.00121},
year = {2017},
url = {http://arxiv.org/abs/1703.00121},
eprinttype = {arXiv},
eprint = {1703.00121},
timestamp = {Mon, 02 Dec 2019 09:32:19 +0100},
biburl = {https://dblp.org/rec/journals/corr/ChengHL17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
### 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/44246) [[Mini]](https://www.openml.org/d/44290)