PlantNet Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID PLT.PLT_NET
Domain ID PLT
Domain Name Plants
Set Number 1
Dataset ID PLT_NET
Dataset Name PlantNet
Short Description Plants Dataset with different species of plants
Long Description 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.
# 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
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/

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Dataset Info Datasheet

Download Dataset from OpenML

Dataset Version OpenML ID
Micro 44249 Download
Mini 44293 Download
Extended 44327 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{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}
}
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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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