Datasets:

Project-AgML
/

turmeric_leaf_disease_classification

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

@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