Meta_Album_FLW_Extended
OpenML dataset with id 44318
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22111032/Meta_Album_FLW_Extended.arff
Upload date: 8 November 2022
Copyright license: No records found.
Dataset Characteristics
Number of classes: 102
Number of features: 3 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 8,189
Number of instances with missing values: 8,189
Number of missing values: 8,189
Meta-Album Flowers Dataset (Extended)
* 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
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Meta Album ID: PLT.FLW Meta Album URL: 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: 8189 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
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/
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] For details on the dataset preprocessing, please see the [supplementary materials] Supporting code can be found on our [GitHub repo] Meta-Album on Papers with Code [Meta-Album]
Other versions of this dataset**
This page was built for dataset: Meta_Album_FLW_Extended
