Datasets:

Project-AgML
/

okra_maturity_classification

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

@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