---
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

```bibtex
@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