Meta_Album_INS_2_Micro

OpenML dataset with id 44248

Ihsan Ullah

Full work available at URL: https://api.openml.org/data/v1/download/22109929/Meta_Album_INS_2_Micro.arff

Upload date: 12 October 2022
Copyright license: Creative Commons Attribution-NonCommercial 4.0 International

Dataset Characteristics

Number of classes: 20
Number of features: 3 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 800
Number of instances with missing values: 800
Number of missing values: 800

Description

Meta-Album Insects2 Dataset (Micro)

* 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.

Dataset Details

![1]

Meta Album ID: SM_AM.INS2 Meta Album URL: https://meta-album.github.io/datasets/INS_2.html Domain ID: SM_AM Domain Name: Small Aninamls Dataset ID: INS_2 Dataset Name: Insects2 Short Description: Insects dataset for Insect Pest Recognition \# Classes: 20 \# Images: 800 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/

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},

} ```

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**

[Mini] [Extended]

This page was built for dataset: Meta_Album_INS_2_Micro