## Meta-Album Fungi Dataset (Extended)
*
Meta-Album Fungi dataset is created by sampling the Danish Fungi 2020 dataset(https://arxiv.org/abs/2103.10107), itself a sampling of the Atlas of Danish Fungi repository. The images and labels which enter this database are sourced by a group consisting of 3 300 citizen botanists, then verified by their peers using a ranking of each person reliability, then finally verified by experts working at the Atlas. Of the 128 classes in the original Danish Fungi 2020 dataset, FNG retains the 25 most populous classes, belonging to six genera, for a total of 15 122 images total, with min 372, and max 1 221 images per class. Each image contains a colored 128x128 image of a fungus or a piece of a fungus from the corresponding class. Because the initial data were of widely varying sizes, we needed to crop a significant portion of the images, which we implemented by taking the largest possible square with center at the middle of the initial image. We then scaled each squared image to the 128x128 standard using the INTER_AREA anti-aliasing filter from Open-CV.
### Dataset Details
Meta Album ID: PLT.FNG
Meta Album URL: [https://meta-album.github.io/datasets/FNG.html](https://meta-album.github.io/datasets/FNG.html)
Domain ID: PLT
Domain Name: Plants
Dataset ID: FNG
Dataset Name: Fungi
Short Description: Fungi dataset from Denmark
\# Classes: 25
\# Images: 15122
Keywords: fungi, ecology, plants
Data Format: images
Image size: 128x128
License (original data release): BSD-3-Clause License
License URL(original data release): https://github.com/picekl/DanishFungiDataset/blob/main/LICENSE
License (Meta-Album data release): BSD-3-Clause License
License URL (Meta-Album data release): [https://github.com/picekl/DanishFungiDataset/blob/main/LICENSE](https://github.com/picekl/DanishFungiDataset/blob/main/LICENSE)
Source: Danish Fungi Dataset
Source URL: https://sites.google.com/view/danish-fungi-dataset
Original Author: Lukas Picek, Milan Sulc, Jiri Matas, Jacob Heilmann-Clausen, Thomas S. Jeppesen, Thomas Laessoe, Tobias Froslev
Original contact: lukaspicek@gmail.com
Meta Album author: Felix Herron
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{picek2021danish,
title={Danish Fungi 2020 - Not Just Another Image Recognition Dataset},
author={Lukas Picek and Milan Sulc and Jiri Matas and Jacob Heilmann-Clausen and Thomas S. Jeppesen and Thomas Laessoe and Tobias Froslev},
year={2021},
eprint={2103.10107},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
### 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/44272) [[Mini]](https://www.openml.org/d/44302)