Datasets:

Project-AgML
/

dragonfruit_disease_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:
  - 10K<n<100K
dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Bad fruit
              '1': Bad leaf
              '2': Good fruit
              '3': Good leaf
    splits:
      - name: train
        num_bytes: 2420121685
        num_examples: 11024
    download_size: 2923896110
    dataset_size: 2420121685
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Bad fruit
              '1': Bad leaf
              '2': Good fruit
              '3': Good leaf
    splits:
      - name: train
        num_bytes: 2119103811
        num_examples: 4497
    download_size: 2288587025
    dataset_size: 2119103811

Dragonfruit Disease Classificatio

A dataset for disease classification of dragonfruit. The dataset contains raw and augmented versions.
The raw dataset contains 4,497 images.
Images per class:

Bad fruit: 307
Bad leaf: 1,615
Good fruit: 333
Good leaf: 2,242

The augmented dataset contains 11,024 images.
Images per class:

Bad fruit: 921
Bad leaf: 4,834
Good fruit: 999
Good leaf: 4,270

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

Citation

@article{sarkar2025udcad,
  title={UDCAD-DFL-DL: A unique dataset for classifying and detecting agricultural diseases in dragon fruits and leaves},
  author={Sarkar, Pronob Chandra and Pranta, Gourab Kumar and Mojumdar, Mayen Uddin and Mahmud, Arif and Noori, Sheak Rashed Haider and Chakraborty, Narayan Ranjan},
  journal={Data in Brief},
  volume={59},
  pages={111411},
  year={2025},
  publisher={Elsevier}
}

Sarkar, Pronob; Pranta, Gourab Kumar ; Mojumdar, Mayen Uddin (2024), “Dragon fruit & leaf Dataset from Bangladesh for Classification and Ecological Research”, Mendeley Data, V1, doi: 10.17632/cfchfdpfw5.1