## Meta-Album Animals with Attributes Dataset (Extended)
*
The original Animals with Attributes 2 (AWA) dataset (https://cvml.ist.ac.at/AwA2/) was designed to benchmark transfer-learning algorithms, in particular attribute base classification and zero-shot learning. It has more than 37 000 images from 50 animals, where each animal corresponds to a class. The images of this dataset were collected from public sources, such as Flickr, in 2016, considering only images licensed for free use and redistribution. Each class can have 100 to 1 645 images with a resolution from 100x100 to 1 893x1 920 px. To preprocess this dataset, we cropped the images from either side to make them square. In case an image has a resolution lower than 128 px, the squared images are done by either duplicating the top and bottom-most 3 rows or the left and right most 3 columns based on the orientation of the original image. Lastly, the square images are resized into 128x128 px using an anti-aliasing filter.
### Dataset Details
Meta Album ID: LR_AM.AWA
Meta Album URL: [https://meta-album.github.io/datasets/AWA.html](https://meta-album.github.io/datasets/AWA.html)
Domain ID: LR_AM
Domain Name: Large Aninamls
Dataset ID: AWA
Dataset Name: Animals with Attributes
Short Description: Mamals dataset for image classification
\# Classes: 50
\# Images: 37318
Keywords: mammals, animals,
Data Format: images
Image size: 128x128
License (original data release): Creative Commons
License URL(original data release): https://cvml.ist.ac.at/AwA2/
License (Meta-Album data release): Creative Commons
License URL (Meta-Album data release): [https://cvml.ist.ac.at/AwA2/](https://cvml.ist.ac.at/AwA2/)
Source: Animals with attributes 2
Source URL: https://cvml.ist.ac.at/AwA2/
Original Author: Christoph H. Lampert, Bernt Schiele, Zeynep Akata
Original contact: chl@ist.ac.at
Meta Album author: Dustin Carrion
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{8413121,
author={Xian, Yongqin and Lampert, Christoph H. and Schiele, Bernt and Akata, Zeynep},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly},
year={2019},
volume={41},
number={9},
pages={2251-2265},
doi={10.1109/TPAMI.2018.2857768}
}
```
### 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/44275) [[Mini]](https://www.openml.org/d/44305)