Datasets:
File size: 1,456 Bytes
5739310 6877d38 5739310 6877d38 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | ---
license: cc-by-4.0
task_categories:
- object-detection
size_categories:
- 1K<n<10K
---
# Tomato Disease Detection/Classification
A dataset containing 1026 images of diseased tomato plants. There are 417 images of Tomato Viral, 82 images of Gray Mold, and 527 images of Bacterial Wilt.
Bounding boxes for the images represent the location of disease in the image.
There are 10 classes:
Gray Mold contains GrayMold_Fruit (0) and GrayMold_Leaf (1)
Viral contains Viral_Leaf (2), Viral_Top (3), and Virus_Middle (4)
Wilt contains Wilt_Base (5), Wilt_Leaf (6), Wilt_Middle (7), Wilt_Stem (8) and Wilt_Top (9).
Data was taken from https://data.mendeley.com/datasets/c2x8rynybg/1 and preprocessed into the ImageFolder format.
For more information regarding the collection of the data, visit https://www.sciencedirect.com/science/article/pii/S2352340925007541
## Citation
Liu, Yongbo (2025), “Tomato Disease Dataset”, Mendeley Data, V1, doi: 10.17632/c2x8rynybg.1
and
```bibtex
@article{LIU2025112032,
title = {A labeled image dataset of common tomato diseases for classification and object detection},
journal = {Data in Brief},
volume = {63},
pages = {112032},
year = {2025},
issn = {2352-3409},
doi = {https://doi.org/10.1016/j.dib.2025.112032},
url = {https://www.sciencedirect.com/science/article/pii/S2352340925007541},
author = {Yongbo Liu and Yuhang Zhu and Liang Hu and Yao Huo and Wenbo Gao and Rongping Hu and Peng He},
}
``` |