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

This is a large‑scale insect pest recognition benchmark dataset containing over 75,000 images across 102 categories. It is intended for detection and classification tasks and provides detailed annotation examples and class lists.

Updated 12/9/2021
github

Description

Overview of Agricultural Crop Pest and Disease Datasets

1. IP102: A Large‑Scale Benchmark Dataset for Insect Pest Recognition

2. PlantVillage

3. Citrus Pest Benchmark

4. SAUTAG

  • Download: https://github.com/SAUTEG/version_1.0
  • Description: Directory structure includes crop species, pest names, disease Latin names, and storage format.
  • Task: Quick model training using pre‑designed dataset.

5. PestDataset

6. pest-dataset (10 classes)

7. AI CHALLENGER – Plant Disease Recognition

8. Rice Leaf Diseases Data Set

9. Plant Leaves

10. Plantae_k

11. A Database of Eight Common Tomato Pest Images

  • Download: https://data.mendeley.com/datasets/s62zm6djd2/1
  • Description: Images of eight common tomato pests: Tetranychus urticae, Bemisia argentifolii, Zeugodacus cucurbitae, Thrips palmi, Myzus persicae, Spodoptera litura, Spodoptera exigua, Helicoverpa armigera.
  • Task: Image examples and class list.

12. Forestry Harmful Organism Classification Dataset

13. Huazhong Agricultural University Bug and Fruit Bug Dataset

14. Chinese Academy of Sciences Crop Pest Sample Dataset

15. Mango Farm Pest Classification Dataset (Indonesia)

16. ZIZANIA AND APPLE IMAGE DATASET

17. Flavia

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Topics

Insect Pest Recognition
Image Classification

Source

Organization: github

Created: 12/9/2021

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