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Project-AgML/MedLeafX_disease_classification

MedLeafX Disease Classification A dataset for disease classification of 4 medicinal plant species: Camphor, Haritaki, Sojina, and Neem. The dataset contains 10,858 images across 6 classes: Bacterial Spot, Healthy Leaf, Powdery Mildew, Shot Hole, Shot Hole Leaf, Yellow Leaf.Images per class: Bacterial Spot: 2,408 Healthy Leaf: 3,497 Powdery Mildew: 854 Shot Hole: 1,597 Shot Hole Leaf: 834 Yellow Leaf: 1,668 This dataset is indexed on https://project-agml.github.io/ as part of… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MedLeafX_disease_classification.

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Dataset Card

MedLeafX Disease Classification

A dataset for disease classification of 4 medicinal plant species: Camphor, Haritaki, Sojina, and Neem. The dataset contains 10,858 images across 6 classes: Bacterial Spot, Healthy Leaf, Powdery Mildew, Shot Hole, Shot Hole Leaf, Yellow Leaf. Images per class:

—Bacterial Spot: 2,408
—Healthy Leaf: 3,497
—Powdery Mildew: 854
—Shot Hole: 1,597
—Shot Hole Leaf: 834
—Yellow Leaf: 1,668

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

Citation

bibtex

@article{ferdous2025ai,
  title={AI-MedLeafX: a large-scale computer vision dataset for medicinal plant diagnosis},
  author={Ferdous, Md Fahim and Nissan, Faysal Bin Khaled and Nibir, Nur Muhammad and Bijoy, Md Hasan Imam},
  journal={Data in Brief},
  pages={111945},
  year={2025},
  publisher={Elsevier}
}

Ferdous, Md. Fahim; Nissan, Faysal Bin Khaled ; Nibir, Nur Muhammad ; Bijoy, Md Hasan Imam (2025), “AI-MedLeafX: A Large-Scale Computer Vision Dataset for Medicinal Plant Diagnosis”, Mendeley Data, V1, doi: 10.17632/zz7r5y4dc6.1