Project-AgML/lentil_disease_classification

Lentil Disease Classification

A dataset for disease classification of lentil leaves. The dataset contains 5,349 images across 4 classes: Ascochyta blight, Lentil Rust, Normal, Powdery Mildew.
Images per class:

• Ascochyta blight: 1,229
• Lentil Rust: 1,248
• Normal: 1,569
• Powdery Mildew: 1,303

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

Citation

@article{mahamud2025lentil,
  title={Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning research},
  author={Mahamud, Eram and Assaduzzaman, Md and Sharmin, Shayla},
  journal={Data in Brief},
  volume={58},
  pages={111224},
  year={2025},
  publisher={Elsevier}
}

Mahamud, Eram ; Tapos, Md Assaduzzaman (2024), “Lentil Plant Disease Image Dataset (4 Class)”, Mendeley Data, V2, doi: 10.17632/7vb77bz2st.2