Datasets:

Project-AgML
/

betel_leaf_disease_classification_2

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:
  - 10K<n<100K
dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Healthy_Leaf
              '1': Leaf_Rot
              '2': Leaf_Spot
    splits:
      - name: train
        num_bytes: 1176728136
        num_examples: 10185
    download_size: 1194701007
    dataset_size: 1176728136
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Healthy_Leaf
              '1': Leaf_Rot
              '2': Leaf_Spot
    splits:
      - name: train
        num_bytes: 212668378
        num_examples: 2037
    download_size: 202720575
    dataset_size: 212668378

Betel Leaf Classification

A dataset for image classification of Betel Leaf. The dataset contains raw and augmented versions.
The raw dataset contains 2,037 images.
Images per class:

Healthy_Leaf: 1,080
Leaf_Rot: 269
Leaf_Spot: 688

The augmented dataset contains 10,185 images.
Images per class:

Healthy_Leaf: 5,400
Leaf_Rot: 1,345
Leaf_Spot: 3,440

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

Citation

@article{hridoy2025comprehensive,
  title={A comprehensive image dataset for accurate diagnosis of betel leaf diseases using artificial intelligence in plant pathology},
  author={Hridoy, Rashidul Hasan and Habib, Md Tarek and Mahmud, Imran and Haque, Aminul and Al Mamun, Md Abdulla},
  journal={Data in Brief},
  volume={60},
  pages={111564},
  year={2025},
  publisher={Elsevier}
}```

Hridoy, Rashidul Hasan; Habib, Md Tarek; Mahmud, Imran; Haque, Aminul; Mamun, Md Abdulla Al (2025), “Comprehensive Betel Leaf Disease Dataset for Advanced Pathology Research ”, Mendeley Data, V1, doi: 10.17632/vpzkntzjty.1