Project-AgML/mandarin_leaf_variety_classification

Mandarin Leaf Variety Classification

A dataset for variety classification of Mandarin leaves. The dataset contains augmented and raw versions. The augmented dataset contains 8,032 images. Images per class:

• China Mishti: 2,032
• Darjeling: 2,000
• Mendaring: 2,000
• Nagpuri: 2,000

The raw dataset contains 1,917 images. Images per class:

• China Mishti: 511
• Darjeling: 500
• Mandaring: 540
• Nagpuri: 366

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

Citation

@article{rahman2025comprehensive,
  title={A comprehensive dataset of mandarin leaf images for classification},
  author={Rahman, Mushfiqur and Ahmed, Imtiaz and Ahmed, Mahin},
  journal={Data in Brief},
  volume={60},
  pages={111685},
  year={2025},
  publisher={Elsevier}
}

Ahmed, Imtiaz ; Ahmed, Mahin ; Rahman, Mushfiqur; Mohsin, Dr. Sayed Mohammad (2024), “Comprehensive Dataset of Mandarin Leaf Varieties.”, Mendeley Data, V1, doi: 10.17632/8bvv2pr2d3.1