| --- |
| 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 |
