---
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