Project-AgML/three_plant_leaf_disease_classification

Three Plant Leaf Disease Classification

A dataset for disease classification of three plant leaves: Aegle Marmelos, Hog Plum, and Lemon. The dataset contains raw and augmented versions.
The raw dataset contains 3,941 images.
Images per class:

• Anthracnose: 360
• Caterpillars_Infestation: 429
• Cercospora_Leaf: 386
• Citrus: 302
• Healthy_Leaf: 674
• Heathy_Leaf: 407
• Leaf_Curl: 678
• Leaf_Spot: 370
• Sooty_Mold: 335

The augmented dataset contains 12,295 images.
Images per class:

• Anthracnose: 1,026
• Caterpillars_Infestation: 1,193
• Cercospora_Leaf: 1,110
• Citrus: 1,140
• Healthy: 2,274
• Healthy_Leaf: 1,052
• Leaf_Curl: 2,192
• Leaf_Spot: 1,046
• Sooty_Mold: 1,262

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

Citation

@article{huq2025comprehensive,
  title={Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessment},
  author={Huq, Mohammad Rezwanul and Ahmed, Jubaer and Gani, Raiyan and Isty, Maherun Nessa and Islam, Tasmia},
  journal={Data in Brief},
  volume={60},
  pages={111590},
  year={2025},
  publisher={Elsevier}
}

Huq, Rezwan; Ahmed, Jubaer; Nessa, Maherun; Islam, Tasmia; Gani, Raiyan (2024), “Smartphone Image Dataset for Aegle Marmelos, Hog Plum and Lemon Plant Leaf ”, Mendeley Data, V1, doi: 10.17632/54r883j5zr.1