## Meta-Album PlantNet Dataset (Extended)
*
Meta-Album PlantNet dataset is created by sampling the Pl@ntNet-300k dataset (https://openreview.net/forum?id=eLYinD0TtIt), itself a sampling of the Pl@ntNet Project's repository. The images and labels which enter this database are sourced by citizen botanists from around the world, then confirmed using a weighted reliability score from others users, such that each image has been reviewed by 2.03 citizen botanists on average. Of the 1 081 classes in the original Pl@ntNet-300k dataset, PLT_NET retains the 25 most populous classes, belonging to 21 genera, for a total of 120 688 images total, with min 2 914, max 9 011 image distribution per class. Each image contains a colored 128x128 image of a plant or a piece or a plant from the corresponding class (or in some cases sketches of plants or plant cells on microscope slides), scaled from the initial variable width using the INTER_AREA anti-aliasing filter from Open-CV. Almost all images were initially square; cropping by taking the largest possible square with center at the middle of the initial image was applied otherwise.
### Dataset Details
Meta Album ID: PLT.PLT_NET
Meta Album URL: [https://meta-album.github.io/datasets/PLT_NET.html](https://meta-album.github.io/datasets/PLT_NET.html)
Domain ID: PLT
Domain Name: Plants
Dataset ID: PLT_NET
Dataset Name: PlantNet
Short Description: Plants Dataset with different species of plants
\# Classes: 25
\# Images: 120688
Keywords: ecology, plants, plant species
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/4726653
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: PlantNet
Source URL: https://plantnet.org/en/2021/03/30/a-plntnet-dataset-for-machine-learning-researchers/
Original Author: Garcin, Camille and Joly, Alexis and Bonnet, Pierre and Lombardo, Jean-Christophe and Affouard, Antoine and Chouet, Mathias and Servajean, Maximilien and Salmon, Joseph and Lorieul, Titouan
Original contact: camille.garcin@inria.fr
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
```
@inproceedings{garcin2021plntnetk,
title={Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution},
author={Camille Garcin and alexis joly and Pierre Bonnet and Antoine Affouard and Jean-Christophe Lombardo and Mathias Chouet and Maximilien Servajean and Titouan Lorieul and Joseph Salmon},
booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)},
year={2021},
url={https://openreview.net/forum?id=eLYinD0TtIt}
}
```
### 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/44249) [[Mini]](https://www.openml.org/d/44293)