Datasets:

Project-AgML
/

mandarin_leaf_variety_classification

configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: raw
    data_dir: raw
    default: true
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': China Mishti
              '1': Darjeling
              '2': Mendaring
              '3': Nagpuri
    splits:
      - name: train
        num_bytes: 788569527
        num_examples: 8032
    download_size: 791874120
    dataset_size: 788569527
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': China Mishti
              '1': Darjeling
              '2': Mandaring
              '3': Nagpuri
    splits:
      - name: train
        num_bytes: 9152568479
        num_examples: 1917
    download_size: 7837534228
    dataset_size: 9152568479

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