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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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/PriBel_betel_leaf_disease_classification.

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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

bibtex

@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