Project-AgML/okra_thermal_maturity_classification

Okra Thermal Maturity Classification

A dataset for maturity classification of Okra through thermal images. The dataset contains 501 images across 2 classes: adequate_matured, over_matured.
Images per class:

• adequate_matured: 248
• over_matured: 253

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{sasithradevi2024thermal,
  title={Thermal image dataset for okra maturity analysis},
  author={Sasithradevi, A and Shoba, S and Persiya, J and others},
  journal={Data in Brief},
  volume={55},
  pages={110645},
  year={2024},
  publisher={Elsevier}
}

A, SASITHRADEVI; S, Shoba; J, Persiya; P, Prakash; Sneha, Adeline (2024), “Thermal Image Dataset of Okra”, Mendeley Data, V1, doi: 10.17632/zrddng9xpr.1