| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Dried |
| '1': Healthy |
| '2': Unhealthy |
| - name: leaf_count |
| dtype: string |
| - name: leaf_side |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 2528902939 |
| num_examples: 10660 |
| download_size: 2125190071 |
| dataset_size: 2528902939 |
| 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 |
| --- |
| # Chitrak Leaf Disease Classification |
|
|
| A dataset for disease classification of Chitrak Leaves. The dataset contains 10,660 images across 3 classes: dried, healthy, and unhealthy. |
|
|
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{patil2024plumbago, |
| title={Plumbago Zeylanica (Chitrak) leaf image dataset: a comprehensive collection for botanical studies, herbal medicine research, and environmental analyses}, |
| author={Patil, Kailas and Suryawanshi, Yogesh and Dhoka, Amit and Chumchu, Prawit}, |
| journal={Data in Brief}, |
| volume={52}, |
| pages={109929}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Dhoka, Amit; Suryawanshi, Yogesh; PATIL, Kailas (2023), “Plumbago Zeylanica (Chitrak) Leaf Image Dataset”, Mendeley Data, V2, doi: 10.17632/twpv7hhmgb.2 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
