| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Dried |
| '1': Healthy |
| '2': Unhealthy |
| splits: |
| - name: train |
| num_bytes: 2370443575 |
| num_examples: 10042 |
| download_size: 2060238079 |
| dataset_size: 2370443575 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Lemongrass Disease Classification |
|
|
| A dataset for disease classification of Lemongrass leaves. The dataset contains 10,042 images across 3 classes: Dried, Healthy, Unhealthy. |
| Images per class: |
| - Dried: 2,968 |
| - Healthy: 3,252 |
| - Unhealthy: 3,822 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{patil2024comprehensive, |
| title={A comprehensive lemongrass (Cymbopogon citratus) leaf dataset for agricultural research and disease prevention}, |
| author={Patil, Kailas and Suryawanshi, Yogesh and Patrawala, Alimurtuza and Chumchu, Prawit}, |
| journal={Data in brief}, |
| volume={53}, |
| pages={110104}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Patrawala, Alimurtuza; Suryawanshi, Yogesh; PATIL, Kailas (2023), “Lemongrass Leaf Image Dataset: Mobile-Photographed Image Compilation”, Mendeley Data, V1, doi: 10.17632/9tnbjsj6kn.1 |
