Datasets:

Project-AgML
/

ash_gourd_disease_classification

configs:
  - config_name: raw
    default: true
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
dataset_info:
  config_name: raw
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Aphid
            '1': Downy mildew
            '2': Healthy
            '3': Leaf curl
            '4': Leaf miner
  splits:
    - name: train
      num_bytes: 1191382310
      num_examples: 2676
  download_size: 1169242117
  dataset_size: 1191382310

Ash Gourd Disease Classification

A dataset for disease classification of ash gourd.
The dataset contains 2,676 images.
Images per class:

Aphid: 140
Downy mildew: 1066
Healthy: 803
Leaf curl: 528
Leaf miner: 139

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

Citation

@article{jahan2025dataset,
  title={Dataset of Ash gourd plant leaf images for detection and classification},
  author={Jahan, Nusrat and Hasan, Md Zahid},
  journal={Data in Brief},
  pages={111997},
  year={2025},
  publisher={Elsevier}
}

Jahan, Nusrat; Hasan, Md Zahid (2024), “Ash Gourd Leaf Healthy and Disease Dataset”, Mendeley Data, V2, doi: 10.17632/zj4th6xvdp.2