Project-AgML/eggplant_disease_classification

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