Project-AgML/PriBel_betel_leaf_disease_classification

PriBel Betel Leaf Disease Classification

A dataset for disease classification of betel leaves. The dataset contains 1,800 images across 3 classes: Diseased, Dried, Healthy.
Images per class:

• Diseased: 509
• Dried: 622
• Healthy: 669

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

Citation

@article{mane2025pribel,
  title={PriBeL: A primary betel leaf dataset from field and controlled environment},
  author={Mane, Gauri and Bhise, Raghav and Kadam, Rutuja and Kaur, Gagandeep and Verma, Devika and Chopade, Rupali and Shinde, Gitanjali and Tejani, Ghanshyam G and Mousavirad, Seyed Jalaleddin},
  journal={Data in Brief},
  volume={61},
  pages={111674},
  year={2025},
  publisher={Elsevier}
}

Mane, Gauri; Bhise, Raghav; Kadam, Rutuja; Kaur, Gagandeep; Verma, Devika; Chopade, Rupali; Shinde, Gitanjali ; Tejani, Ghanshyam; Mousavirad, Seyed (2025), “Betel Leaf Dataset: A Primary Dataset From Field And Controlled Environment ”, Mendeley Data, V2, doi: 10.17632/btdym2t6mt.2