This work was accepted by CVPR 2019.
The IP102 datset contains more than 75,000 images belongs to 102 categories. A natural long-tailed distribution presents on it. In addition, we annotate 19,000 images with bounding boxes for object detection. The IP102 has a hierarchical taxonomy and the insect pests which mainly affect one specific agricultural product are grouped into the same upper-level category.
You can download the IP102 v1.1 through the Drive or AliyunDrive.
The index and name of each insect pest sub-class in the classification task of the IP102 dataset can be found in classes.txt.
If you find the IP102 helpful, please cite it as
@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},
}
ATTN: This dataset is free for academic usage. For other purposes, please contact Xiaoping Wu (xpwu95@163.com).