| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Bacterial_Spot |
| '1': Brown_Blight |
| '2': Dry |
| '3': Healthy |
| '4': Powdery_Mildew |
| '5': Sooty_Mold |
| splits: |
| - name: train |
| num_bytes: 114997934 |
| num_examples: 2400 |
| download_size: 114274185 |
| dataset_size: 114997934 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # Java Plum Leaf Disease Classification |
|
|
| A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold. |
| Images per class: |
| - Bacterial_Spot: 400 |
| - Brown_Blight: 400 |
| - Dry: 400 |
| - Healthy: 400 |
| - Powdery_Mildew: 400 |
| - Sooty_Mold: 400 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{bhowmik2024customised, |
| title={A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease}, |
| author={Bhowmik, Auvick Chandra and Ahad, Md Taimur and Emon, Yousuf Rayhan and Ahmed, Faruk and Song, Bo and Li, Yan}, |
| journal={Smart Agricultural Technology}, |
| volume={8}, |
| pages={100500}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3 |
|
|
