---
configs:
- config_name: raw
  default: true
  data_dir: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Aphids_Disease
          '1': Blotch
          '2': Healthy_Leaf
          '3': Leaf_Spot
- config_name: augmented
  data_dir: augmented
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Aphids_Disease
          '1': Blotch
          '2': Healthy_Leaf
          '3': Leaf_Spot
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---

# Turmeric Leaf Disease Classification

A dataset for disease classification of turmeric leaves. The dataset contains raw and augmented versions.  
The raw dataset contains 865 images.  
Images per class:
- Aphids_Disease: 221
- Blotch: 238
- Healthy_Leaf: 213
- Leaf_Spot: 193

The augmented dataset contains 3,496 images.  
Images per class:
- Aphids_Disease: 847
- Blotch: 909
- Healthy_Leaf: 821
- Leaf_Spot: 919


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

## Citation

```bibtex
@article{ahmed2025smartphone,
  title={Smartphone image dataset for turmeric plant leaf disease from Bangladesh spice fields},
  author={Ahmed, Jubaer and Hossain, Md Riyad and Gani, Raiyan and Rashid, Mohammad Rifat Ahmmad and Rahman, Md Mahamudur and Jahangir, Tasfia Binte and Hossain, Md Samir},
  journal={Data in Brief},
  pages={112184},
  year={2025},
  publisher={Elsevier}
}```

Hossain , Md Riyad ; Rashid, Mohammad Rifat Ahmmad; Jahangir , Tasfia binte ; Hossain , Md. Samir ; Rahman, Md. Mahamudur ; Gani , Raiyan ; Ahmed , Jubaer ; Islam, Raihan Ul; Khan, M. Saddam Hossain  (2025), “Image Dataset for Turmeric Plant Leaf Disease Detection ”, Mendeley Data, V2, doi: 10.17632/jtttfbx342.2