Datasets:
metadata
configs:
- config_name: raw
default: true
data_dir: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Healthy Leaf
'1': Insect Pest Disease
'2': Leaf Spot Disease
'3': Mosaic Virus Disease
'4': White Mold Disease
'5': Wilt Disease
- config_name: augmented
data_dir: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Healthy Leaf
'1': Insect Pest Disease
'2': Leaf Spot Disease
'3': Mosaic Virus Disease
'4': White Mold Disease
'5': Wilt Disease
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
Eggplant Disease Classification
A dataset for disease classification of Eggplants. The dataset contains raw and augmented versions.
The raw dataset contains 4,089 images.
Images per class:
- Healthy Leaf: 1,451
- Insect Pest Disease: 546
- Leaf Spot Disease: 602
- Mosaic Virus Disease: 1,362
- White Mold Disease: 63
- Wilt Disease: 65
The augmented dataset contains 20,353 images.
Images per class:
- Healthy Leaf: 7,265
- Insect Pest Disease: 2,728
- Leaf Spot Disease: 3,010
- Mosaic Virus Disease: 6,710
- White Mold Disease: 315
- Wilt Disease: 325
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{howlader2025comprehensive,
title={A comprehensive image dataset for the identification of eggplant leaf diseases and computer vision applications},
author={Howlader, Shakib and Ahamed, Md Sabbir and Mojumdar, Mayen Uddin and Noori, Sheak Rashed Haider and Siddiquee, Shah Md Tanvir and Chakraborty, Narayan Ranjan},
journal={Data in Brief},
volume={59},
pages={111353},
year={2025},
publisher={Elsevier}
}```
Howlader, Shakib; Ahamed, Md. Sabbir; Mojumdar, Mayen Uddin (2025), “Eggplant Leaf Disease Detection Dataset”, Mendeley Data, V2, doi: 10.17632/d3ypkphghb.2