| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Bacteria |
| '1': Fungi |
| '2': Healthy |
| '3': Nematode |
| '4': Pest |
| '5': Phytopthora |
| '6': Virus |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Potato Leaf Disease Classification |
|
|
| A dataset for disease classification of potato leaves. The dataset contains 3,076 images across 7 classes: Bacteria, Fungi, Healthy, Nematode, Pest, Phytopthora, Virus. |
| Images per class: |
| - Bacteria: 569 |
| - Fungi: 748 |
| - Healthy: 201 |
| - Nematode: 68 |
| - Pest: 611 |
| - Phytopthora: 347 |
| - Virus: 532 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{shabrina2024novel, |
| title={A novel dataset of potato leaf disease in uncontrolled environment}, |
| author={Shabrina, Nabila Husna and Indarti, Siwi and Maharani, Rina and Kristiyanti, Dinar Ajeng and Prastomo, Niki and others}, |
| journal={Data in brief}, |
| volume={52}, |
| pages={109955}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Shabrina, Nabila Husna; Indarti, Siwi; Maharani, Rina; Kristiyanti, Dinar Ajeng; Irmawati, Irmawati; Prastomo, Niki; M, Tika Adillah (2023), “Potato Leaf Disease Dataset in Uncontrolled Environment”, Mendeley Data, V1, doi: 10.17632/ptz377bwb8.1 |
