Project-AgML/IDDMSLD_spinach_leaf_disease_classification

IDDMSLD Spinach Leaf Disease Classification

A dataset for disease classification of spinach leaves. The dataset contains 3,006 images across 5 classes: Anthracnose, Bacterial-Spot, Downy-Mildew, Healthy-Leaf, Pest-Damage.
Images per class:

• Anthracnose: 102
• Bacterial-Spot: 752
• Downy-Mildew: 240
• Healthy-Leaf: 1,399
• Pest-Damage: 513

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

Citation

@article{sayeem2025iddmsld,
  title={IDDMSLD: An image dataset for detecting Malabar spinach leaf diseases},
  author={Sayeem, Adnan Rahman and Omi, Jannatul Ferdous and Hasan, Mehedi and Mojumdar, Mayen Uddin and Chakraborty, Narayan Ranjan},
  journal={Data in Brief},
  volume={58},
  pages={111293},
  year={2025},
  publisher={Elsevier}
}

Sayeem , Adnan Rahman; Omi , Jannatul Ferdous; Hasan , Mehedi; Mojumdar, Mayen Uddin (2024), “Malabar Spinach Disease Detection Dataset”, Mendeley Data, V2, doi: 10.17632/sy69db2nz5.2