Project-AgML/BrinjalFruitX_disease_classification

BrinjalFruitX Disease Classification

A dataset for disease classification of brinjal fruit (eggplant). The dataset contains 1,823 images across 5 classes: Brinjal Fruit Creaking, Healty Brinjal, Phomopsis Bright, Shoot and Fruit Borer, Wet Rot.
Images per class:

• Brinjal Fruit Creaking: 200
• Healty Brinjal: 514
• Phomopsis Bright: 161
• Shoot and Fruit Borer: 725
• Wet Rot: 223

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

Citation

@article{bitto2026brinjalfruitx,
  title={BrinjalFruitX: A Field-Collected Image Dataset for Machine Learning and Deep Learning-Based Disease Identification in Brinjal Fruits},
  author={Bitto, Abu Kowshir and Hasan, Md Zahid and Bijoy, Md Hasan Imam and Biplob, Khalid Been Badruzzaman and Hassan, Mohammad Mahadi and Rana, Mohammad Shohel and Masum, Abdul Kadar Muhammad},
  journal={Data in Brief},
  pages={112490},
  year={2026},
  publisher={Elsevier}
}```

Hasan, Md. Zahid ; Bitto, Abu Kowshir; Bijoy, Md Hasan Imam (2025), “BrinjalFruitX: A Field-Collected Image Dataset for Machine Learning and Deep Learning-Based Disease Identification in Brinjal Fruits”, Mendeley Data, V1, doi: 10.17632/ngc58fsxgd.1