Flowers Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID PLT.FLW
Domain ID PLT
Domain Name Plants
Set Number 0
Dataset ID FLW
Dataset Name Flowers
Short Description Flowers dataset from Visual Geometry Group, University of Oxford
Long Description 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.
# 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/

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Dataset Info Datasheet

Download Dataset from OpenML

Dataset Version OpenML ID
Micro 44239 Download
Mini 44283 Download
Extended 44318 Download

Code to download dataset using OpenML API

      # import openml
      import openml
  
      # download dataset with DATASET_ID. DATASET_ID is OpenML ID
      dataset = openml.datasets.get_dataset(DATASET_ID)
  
      # display dataset info
      print(dataset.name)

Sample Images

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",
}
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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}
  }
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