## Meta-Album Airplanes Dataset (Extended)
*
The original Airplanes dataset (https://zenodo.org/record/3464319) comprises more than 9 000 remote sensing images acquired from Google Earth satellite imagery, including 21 different types of aircraft from around 36 airports. All the images were carefully labeled by seven specialists in the field of remote sensing image interpretation. Each class can have 230 to 846 images, where each image contains only one complete aircraft, and they have variable resolutions. To preprocess this dataset, we cropped the images from either side to make them square, and then we resized them into 128x128 px using an anti-aliasing filter.
### Dataset Details
Meta Album ID: VCL.APL
Meta Album URL: [https://meta-album.github.io/datasets/APL.html](https://meta-album.github.io/datasets/APL.html)
Domain ID: VCL
Domain Name: Vehicles
Dataset ID: APL
Dataset Name: Airplanes
Short Description: Airplanes dataset with different aiplane models
\# Classes: 21
\# Images: 9625
Keywords: vehicles, airplanes
Data Format: images
Image size: 128x128
License (original data release): Creative Commons Attribution 4.0 International
License URL(original data release): https://zenodo.org/record/3464319
https://creativecommons.org/licenses/by/4.0/legalcode
License (Meta-Album data release): Creative Commons Attribution 4.0 International
License URL (Meta-Album data release): [https://creativecommons.org/licenses/by/4.0/legalcode](https://creativecommons.org/licenses/by/4.0/legalcode)
Source: Muti-type Aircraft of Remote Sensing Images: MTARSI
Source URL: https://zenodo.org/record/3464319
Original Author: Wu, Zhize
Original contact:
Meta Album author: Philip Boser
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
```
@dataset{wu_zhize_2019_3464319,
author = {Wu, Zhize},
title = {{Muti-type Aircraft of Remote Sensing Images: MTARSI}},
month = may,
year = 2019,
publisher = {Zenodo},
doi = {10.5281/zenodo.3464319},
url = {https://doi.org/10.5281/zenodo.3464319}
}
```
### 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/44251) [[Mini]](https://www.openml.org/d/44295)