Datasets:

Project-AgML
/

MoringaLeafNet_disease_classification

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': Bacterial Leaf Spot
              '1': Cercospora Leaf Spot
              '2': Healthy
              '3': Yellow
    splits:
      - name: train
        num_bytes: 3259143671
        num_examples: 11268
    download_size: 2854677523
    dataset_size: 3259143671
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Bacterial Leaf Spot
              '1': Cercospora Leaf Spot
              '2': Healthy
              '3': Yellow
    splits:
      - name: train
        num_bytes: 1073805775
        num_examples: 2817
    download_size: 1132826946
    dataset_size: 1073805775

Moringa Leaf Disease Classification

A dataset for disease classification of moringa leaves. The dataset contains both the raw data, preprocessed, and augmented version. The preprocessed dataset has had backgrounds removed and image size scaled down.
The raw data and preprocessed dataset contains 2,817 images, distributed as

Bacterial Leaf Spot: 857
Cercospora Leaf Spot: 568
Healthy: 597
Yellow: 795

The augmented data contains 11,268 images, distributed as

Bacterial Leaf Spot: 3428
Cercospora Leaf Spot: 2272
Healthy: 2388
Yellow: 3180

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

Citation

@article{preanto2025moringaleafnet,
  title={MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning research},
  author={Preanto, Sabit Ahamed and Paul, Tapon and Khan, Abid and Bijoy, Md Hasan Imam},
  journal={Data in Brief},
  pages={112174},
  year={2025},
  publisher={Elsevier}
}

Khan, Abid; Preanto, Sabit Ahamed; Paul, Tapon; Bijoy, Md Hasan Imam (2025), “MoringaLeafNet: A Multi-Class Leaf Disease Dataset for Precision Agriculture and Deep Learning Research”, Mendeley Data, V5, doi: 10.17632/w8sr775pjb.5