## Meta-Album Flowers Dataset (Mini)
*
The Flowers dataset(https://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html) consists of a variety of flowers gathered from different websites and some are photographed by the original creators. These flowers are commonly found in the UK. The images generally have large scale, pose and light variations. Some categories of flowers in the dataset has large variations of flowers while other have similar flowers in a category. The dataset was created back in 2008 at Oxford University by Nilsback, M-E. and Zisserman, A.[21]. The Flowers dataset in the Meta-Album meta-dataset is a preprocessed version of the original flowers dataset. The images are first cropped and made into squared images which are then resized into 128x128 with anti-aliasing filter.
### Dataset Details
![](https://meta-album.github.io/assets/img/samples/FLW.png)
Meta Album ID: PLT.FLW
Meta Album URL: [https://meta-album.github.io/datasets/FLW.html](https://meta-album.github.io/datasets/FLW.html)
Domain ID: PLT
Domain Name: Plants
Dataset ID: FLW
Dataset Name: Flowers
Short Description: Flowers dataset from Visual Geometry Group, University of Oxford
\# Classes: 102
\# Images: 4080
Keywords: flowers, ecology, plants
Data Format: images
Image size: 128x128
License (original data release): GNU General Public License Version 2
License URL(original data release): https://peltarion.com/knowledge-center/documentation/terms/dataset-licenses/oxford-102-category-flowers
https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html
License (Meta-Album data release): GNU General Public License Version 2
License URL (Meta-Album data release): [https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html)
Source: Visual Geometry Group, University of Oxford, England
Source URL: https://www.robots.ox.ac.uk/~vgg/data/flowers/
Original Author: Maria-Elena Nilsback, Andrew Zisserman
Original contact: {men,az}@robots.ox.ac.uk
Meta Album author: Felix Mohr
Created Date: 01 March 2022
Contact Name: Felix Mohr
Contact Email: meta-album@chalearn.org
Contact URL: [https://meta-album.github.io/](https://meta-album.github.io/)
### Cite this dataset
```
@InProceedings{Nilsback08,
author = "Maria-Elena Nilsback and Andrew Zisserman",
title = "Automated Flower Classification over a Large Number of Classes",
booktitle = "Indian Conference on Computer Vision, Graphics and Image Processing",
month = "Dec",
year = "2008",
}
```
### 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/44239) [[Extended]](https://www.openml.org/d/44318)