Insects2 Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID SM_AM.INS2
Domain ID SM_AM
Domain Name Small Aninamls
Set Number 1
Dataset ID INS_2
Dataset Name Insects2
Short Description Insects dataset for Insect Pest Recognition
Long Description The pest insects dataset was originally created as a large scale benchmark dataset for Insect Pest Recognition (https://github.com/xpwu95/IP102). It contains more than 75 000 images belongs to 102 categories. It also has a hierarchical taxonomy and the insect pests which mainly affect one specific agricultural product are grouped into the same upper-level category. The preprocessed version is made from the original dataset by cropping the images in perfect squares and then resizing them into the required images size of 128x128.
# Classes 102
# Images 75222
Keywords insects, ecology
Data Format images
Image size 128x128
License
(original data release)		 Free for academic usage, cite to use dataset
License URL
(original data release)		 https://github.com/xpwu95/IP102
License
(Meta-Album data release)		 CC BY-NC 4.0
License URL
(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
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/

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Dataset Info Datasheet

Download Dataset from OpenML

Dataset Version OpenML ID
Micro 44248 Download
Mini 44292 Download
Extended 44326 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)

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Cite this dataset 

@inproceedings{Wu2019Insect,
  title={IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition},
  author={Xiaoping Wu and Chi Zhan and Yukun Lai and Ming-Ming Cheng and Jufeng Yang},
  booktitle={IEEE CVPR},
  pages={8787--8796},
  year={2019},
}
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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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