Insects2 Stylized Dataset

Dataset details

Last updated: 02 July 2024
Stylized Meta Album ID SM_AM.INS2_STY
Domain ID SM_AM
Domain Name Small Aninamls
Dataset ID INS2_STY
Dataset Name Insects2 Stylized
Description Insects dataset for Insect Pest Recognition (Stylized)
# Classes 400
# Images 600000
Keywords insects, ecology
Data Format images
Image size 256x256
License
(original data release)
Free for academic usage, cite to use dataset
License URL
(original data release)
https://github.com/xpwu95/IP102
License
(Stylized Meta-Album data release)
CC BY-NC 4.0
License URL
(Stylized Meta-Album data release)
https://creativecommons.org/licenses/by-nc/4.0/
Source IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
Source URL https://github.com/xpwu95/IP102
Original Author Xiaoping Wu, Chi Zhan, Yukun Lai, Ming-Ming Cheng, Jufeng Yang
Original contact xpwu95@163.com
Stylized Meta Album author Romain Mussard
Created Date 01 March 2024
Contact Name Ihsan Ullah
Contact Email stylized-meta-album@chalearn.org
Contact URL https://stylized-meta-album.github.io/

Download Meta-data file

Access Dataset from OpenML

Note: From OpenML website, you can only download labels file. To download the complete dataset, use openml python api

Dataset Version OpenML ID
Mini 46042 Download
Extended 46041 Download

Code to download dataset using OpenML Python API

Install OpenML for python

  # import openml
  import openml

  # download dataset with DATASET_ID. Replace DATASET_ID with OpenML ID
  dataset = openml.datasets.get_dataset(DATASET_ID, download_data=True, download_all_files=True)


  # display dataset info
  print(dataset.name)
              

Datasets are downloaded in openml cache directory. You can check it with this code:

  # display openml cache directory
  print(openml.config.get_cache_directory())
              

Cite Stylized Meta-Album

  @inproceedings{stylized-meta-album-2024,
    title={Stylized Meta-Album: Muti-domain computer vision meta-dataset},
    author={Mussard, Romain and Gauffre, Aurélien and Ullah, Ihsan and Khuong, Thanh Gia Hieu and Amini, Massih-Reza and Hosoya, Lisheng Sun},
    booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    url = {https://stylized-meta-album.github.io/},
    year = {2024}
  }

  @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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