Project-AgML/fruit_leaf_variety_classification

Fruit Leaf Variety Classification

A dataset for variety classification of fruit leaves. The dataset contains 3,173 images across 10 classes: Aegle marmelos, Black plum, Custard Apple, Guava, Jackfruit, Lotkon, Lychee, Mango, Plum, Star Fruit.
Images per class:

• Aegle marmelos: 336
• Black plum: 304
• Custard Apple: 304
• Guava: 325
• Jackfruit: 311
• Lotkon: 306
• Lychee: 312
• Mango: 330
• Plum: 302
• Star Fruit: 343

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

Citation

@article{abedin2025comprehensive,
  title={Comprehensive data of 10 fruit leaf classes captured for agricultural AI applications},
  author={Abedin, Minhajul and Islam, Sujon and Sultana, Naznin},
  journal={Data in Brief},
  pages={111879},
  year={2025},
  publisher={Elsevier}
}

Abedin, Minhajul ; Islam, Md. Sujon ; Sultana, Dr. Naznin (2025), “Multi-Class Fruit Leaf Classification Dataset (10 Classes)”, Mendeley Data, V2, doi: 10.17632/4gxzx6h7gv.2