Datasets:

Project-AgML
/

radish_leaf_disease_classification

configs:
  - config_name: default
    default: true
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Black leaf spot
              '1': Downey mildew
              '2': Fresh leaf
              '3': Mosaic virus
              '4': flea beetle
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

Radish Leaf Disease Classification

A dataset for disease classification of radish leaves. The dataset contains 2,801 images across 5 classes: Black leaf spot, Downey mildew, Fresh leaf, Mosaic virus, flea beetle.
Images per class:

Black leaf spot: 526
Downey mildew: 601
Fresh leaf: 613
Mosaic virus: 548
flea beetle: 513

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

Citation

@article{hasan2025smartphone,
  title={Smartphone image dataset for radish plant leaf disease classification from Bangladesh},
  author={Hasan, Mahamudul and Gani, Raiyan and Rashid, Mohammad Rifat Ahmmad and Isty, Maherun Nessa and Kamara, Raka and Tarin, Taslima Khan},
  journal={Data in Brief},
  volume={58},
  pages={111263},
  year={2025},
  publisher={Elsevier}
}

Rashid, Mohammad Rifat Ahmmad; Hasan, Mahamudul; Gani, Raiyan ; Tarin, Taslima Khan ; Kamara, Raka ; Rabbi, Sheikh Fajlay (2024), “Image Dataset for Radish Plant Leaf Disease Detection and Freshness Assessment from Bangladesh ”, Mendeley Data, V1, doi: 10.17632/s973cz2jcd.1