| --- |
| configs: |
| - config_name: raw |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Mature |
| '1': Over-mature |
| '2': Under-mature |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - n<1K |
| --- |
| |
| # Okra Maturity Classification |
|
|
| A dataset for maturity classification of okra. |
| The dataset contains 364 images. |
| Images per class: |
| - Mature: 132 |
| - Over-mature: 100 |
| - Under-mature: 132 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{bharathi2025rgb, |
| title={RGB image dataset for okra maturity classification to enhance agricultural quality and market readiness}, |
| author={Bharathi, Nikhilesh Kumar and Fj, Ferbin and others}, |
| journal={Data in Brief}, |
| pages={111982}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Bharathi, Nikhilesh Kumar; FJ, Ferbin ; Sivapatham, Shoba (2025), “Okra Image Dataset”, Mendeley Data, V1, doi: 10.17632/jmhz4826f2.1 |
