## Meta-Album Medicinal Leaf Dataset (Micro)
*
The Medicinal Leaf Database(https://data.mendeley.com/datasets/nnytj2v3n5/1) gathers 30 species of healthy and mature medicinal herbs. The leaves are plucked from different plants of the same species, then placed on a white uniform background. There are around 1 800 images in total, captured with a mobile phone camera. The original resolution is 1 600x1 200 px. We create Medleaf for Meta-Album by cropping them at the center and resize to 128x128 px.
### Dataset Details
![](https://meta-album.github.io/assets/img/samples/MED_LF.png)
Meta Album ID: PLT_DIS.MED_LF
Meta Album URL: [https://meta-album.github.io/datasets/MED_LF.html](https://meta-album.github.io/datasets/MED_LF.html)
Domain ID: PLT_DIS
Domain Name: Plant Diseases
Dataset ID: MED_LF
Dataset Name: Medicinal Leaf
Short Description: Healthy Medicinal Leaf
\# Classes: 20
\# Images: 800
Keywords: medicinal leaf, plants, plant diseases
Data Format: images
Image size: 128x128
License (original data release): CC BY 4.0
License URL(original data release): https://data.mendeley.com/datasets/nnytj2v3n5/1
https://creativecommons.org/licenses/by/4.0/
License (Meta-Album data release): CC BY 4.0
License URL (Meta-Album data release): [https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)
Source: Medicinal Leaf Dataset
Source URL: https://data.mendeley.com/datasets/nnytj2v3n5/1
Original Author: S Roopashree, J Anitha
Original contact:
Meta Album author: Phan Anh VU
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{s_j_2020,
title={Medicinal Leaf Dataset},
url={https://data.mendeley.com/datasets/nnytj2v3n5/1},
author={S, Roopashree and J, Anitha},
year={2020},
month={Oct},
doi={10.17632/nnytj2v3n5.1},
version={1},
publisher={Mendeley Data}
}
```
### 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
[[Mini]](https://www.openml.org/d/44299) [[Extended]](https://www.openml.org/d/44332)