| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Dried |
| '1': Healthy |
| '2': Unhealthy |
| splits: |
| - name: train |
| num_bytes: 1671389835 |
| num_examples: 9094 |
| download_size: 1640657457 |
| dataset_size: 1671389835 |
| --- |
| |
| # Centella Asiatica Leaves |
|
|
| A dataset for image classification of Centella Asiatica Leaves. The dataset contains 9,094 images across 3 classes: Dried, Healthy, Unhealthy. |
| Images per class: |
| - Dried: 2,996 |
| - Healthy: 3,048 |
| - Unhealthy: 3,050 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{jadhav2024dataset, |
| title={Dataset of Centella Asiatica leaves for quality assessment and machine learning applications}, |
| author={Jadhav, Rohini and Molawade, Mayuri and Bhosle, Amol and Suryawanshi, Yogesh and Patil, Kailas and Chumchu, Prawit}, |
| journal={Data in Brief}, |
| volume={57}, |
| pages={111150}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Suryawanshi, Yogesh; Wakode, Krishna; PATIL, Kailas; chumchu, prawit (2024), “Centella Asiatica Leaf Image Dataset”, Mendeley Data, V2, doi: 10.17632/hrx2kgphy5.2 |
