| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Disease |
| '1': Dry Leaf |
| '2': Healthy |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Bay Leaf Disease Classification |
|
|
| A dataset for disease classification of bay leaves. The dataset contains 5,696 images across 3 classes: Disease, Dry Leaf, Healthy. |
| Images per class: |
| - Disease: 1,477 |
| - Dry Leaf: 3,074 |
| - Healthy: 1,145 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{paygude2024dataset, |
| title={A dataset revolutionizing Indian bay leaf analysis}, |
| author={Paygude, Priyanka and Thite, Sandip and Kumar, Ajay and Bhosle, Amol and Pawar, Rajendra and Mane, Renuka and Joshi, Rahul and Kasar, Manisha and Chavan, Prashant and Gayakwad, Milind}, |
| journal={Data in Brief}, |
| volume={57}, |
| pages={111024}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| PAYGUDE, PRIYANKA; CHAVAN, PRASHANT; Gayakwad, Milind (2024), “Indian Bay Leaves or Cinnamomum Tamala Leaves Dataset”, Mendeley Data, V2, doi: 10.17632/s9t7sr52wg.2 |
