## Meta-Album Plankton Dataset (Mini)
*
The Plankton dataset is created by researchers at the Woods Hole Oceanographic Institution (https://www.whoi.edu/). Imaging FlowCytobot (IFCB) was used for the data collection. The Complete process and mechanism are described in the paper [31]. Each image in the dataset contains one or multiple planktons. The images are captured in a controlled environment and have different orientations based on the flow of the fluid in which the images are captured and the size and shape of the planktons. The preprocessed plankton dataset is prepared from the original WHOI Plankton dataset. The preprocessing of the images is done by creating a background squared image 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 to match the width or height of the image respectively. A Gaussian kernal of size 29x29 is applied to the background image to blur the image. Finally, the original plankton image is pasted on the background image at the center of the image. The squared background image with the original plankton image on top of it as one image is then resized into 128x128 with anti-aliasing.
### Dataset Details
Meta Album ID: SM_AM.PLK
Meta Album URL: [https://meta-album.github.io/datasets/PLK.html](https://meta-album.github.io/datasets/PLK.html)
Domain ID: SM_AM
Domain Name: Small Animals
Dataset ID: PLK
Dataset Name: Plankton
Short Description: Plankton dataset from WHOI
\# Classes: 86
\# Images: 3440
Keywords: plankton, ecology
Data Format: images
Image size: 128x128
License (original data release): MIT License
License URL(original data release): https://github.com/hsosik/WHOI-Plankton/blob/master/LICENSE
License (Meta-Album data release): MIT License
License URL (Meta-Album data release): [https://github.com/hsosik/WHOI-Plankton/blob/master/LICENSE](https://github.com/hsosik/WHOI-Plankton/blob/master/LICENSE)
Source: Woods Hole Oceanographic Institution
Source URL: https://github.com/hsosik/WHOI-Plankton
Original Author: Heidi M. Sosik, Emily E. Peacock, Emily F. Brownlee, Eric Orenstein
Original contact: hsosik@whoi.edu
Meta Album author: Ihsan Ullah
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
```
@misc{whoiplankton,
title={Annotated Plankton Images - Data Set for Developing and Evaluating Classification Methods.},
author={Heidi M. Sosik, Emily E. Peacock, Emily F. Brownlee},
year={2015},
DOI = {10.1575/1912/7341},
url={https://hdl.handle.net/10.1575/1912/7341}
}
```
### 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/44238) [[Extended]](https://www.openml.org/d/44317)