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Move inline configs[].features into dataset_info:
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metadata
configs:
  - config_name: raw
    default: true
    data_dir: raw
  - config_name: augmented
    data_dir: augmented
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 10K<n<100K
dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Anthracnose
              '1': Caterpillars_Infestation
              '2': Cercospora_Leaf
              '3': Citrus
              '4': Healthy
              '5': Healthy_Leaf
              '6': Leaf_Curl
              '7': Leaf_Spot
              '8': Sooty_Mold
      - name: crop_type
        dtype: string
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Anthracnose
              '1': Caterpillars_Infestation
              '2': Cercospora_Leaf
              '3': Citrus
              '4': Healthy_Leaf
              '5': Heathy_Leaf
              '6': Leaf_Curl
              '7': Leaf_Spot
              '8': Sooty_Mold
      - name: crop_type
        dtype: string

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