Project-AgML/eggplant_leaf_disease_classification

Eggplant Leaf Disease Classification

A dataset for disease classification of eggplant leaves. The dataset contains both the raw data and augmented version.
The raw data contains 3,116 images.
The augmented data contains 10,000 images.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{nirob2025comprehensive,
  title={A Comprehensive Annotated Image Dataset for Deep Learning Analysis of Eggplant Leaf Diseases.},
  author={Nirob, Md Asraful Sharker and Bishshash, Prayma and Ayan, Mariyam Bin and Khatun, Tania and Sharmin, Shayla and Hasan, Md Zahid and Uddin, Mohammad Shorif},
  journal={Data in Brief},
  pages={112140},
  year={2025},
  publisher={Elsevier}
}

Nirob, Md Asraful Sharker; Bishshash, Prayma; Ayan, Mariyam Bin; Khatun, Tania; Uddin, Mohammad Shorif (2024), “Eggplant Dataset: A Comprehensive Dataset for Agricultural Research and Disease Detection”, Mendeley Data, V1, doi: 10.17632/5drkk544k8.1