README.md

metadata

configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: raw
    data_dir: raw
    default: true
license: cc-by-nc-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': Aphids
              '1': Cercospora Leaf Spot
              '2': Defect Eggplant
              '3': Flea Beetles
              '4': Fresh Eggplant
              '5': Fresh Eggplant Leaf
              '6': Leaf Wilt
              '7': Phytophthora Blight
              '8': Powdery Mildew
              '9': Tobacco Mosaic Virus
    splits:
      - name: train
        num_bytes: 739993240
        num_examples: 10000
    download_size: 767516517
    dataset_size: 739993240
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Aphids
              '1': Cercospora Leaf Spot
              '2': Defect Eggplant
              '3': Flea Beetles
              '4': Fresh Eggplant
              '5': Fresh Eggplant Leaf
              '6': Leaf Wilt
              '7': Phytophthora Blight
              '8': Powdery Mildew
              '9': Tobacco Mosaic Virus
    splits:
      - name: train
        num_bytes: 508773281
        num_examples: 3116
    download_size: 499363707
    dataset_size: 508773281

Eggplant Leaf Disease Classification

A dataset for disease classification of eggplant leaves. The dataset contains both the raw data and augmented version.
The raw data contains 3,116 images.
The augmented data contains 10,000 images.

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

Citation

@article{nirob2025comprehensive,
  title={A Comprehensive Annotated Image Dataset for Deep Learning Analysis of Eggplant Leaf Diseases.},
  author={Nirob, Md Asraful Sharker and Bishshash, Prayma and Ayan, Mariyam Bin and Khatun, Tania and Sharmin, Shayla and Hasan, Md Zahid and Uddin, Mohammad Shorif},
  journal={Data in Brief},
  pages={112140},
  year={2025},
  publisher={Elsevier}
}

Nirob, Md Asraful Sharker; Bishshash, Prayma; Ayan, Mariyam Bin; Khatun, Tania; Uddin, Mohammad Shorif (2024), “Eggplant Dataset: A Comprehensive Dataset for Agricultural Research and Disease Detection”, Mendeley Data, V1, doi: 10.17632/5drkk544k8.1