# IP102

**Repository Path**: nurmemet123/IP102

## Basic Information

- **Project Name**: IP102
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-08-15
- **Last Updated**: 2026-08-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

This [work](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_IP102_A_Large-Scale_Benchmark_Dataset_for_Insect_Pest_Recognition_CVPR_2019_paper.pdf) 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.

### Data Download

You can download the IP102 v1.1 through the [Drive](https://drive.google.com/drive/folders/1svFSy2Da3cVMvekBwe13mzyx38XZ9xWo?usp=sharing) or [AliyunDrive](https://www.aliyundrive.com/s/c5G9scSGyak).

The index and name of each insect pest sub-class in the classification task of the IP102 dataset can be found in [classes.txt](./classes.txt).


### Additional Information
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).