Project-AgML/guava_maturity_classification

Guava Maturity Classification

A dataset for maturity classification of three varieties of guava. The dataset contains 2,309 images across 3 classes: green, mature-green, ripe.
Images per class:

• green: 232
• mature-green: 829
• ripe: 1,248

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

Citation

@article{maitlo2023novel,
  title={A novel dataset of guava fruit for grading and classification},
  author={Maitlo, Abdul Khalique and Aziz, Abdul and Raza, Hassnian and Abbas, Neelam},
  journal={Data in Brief},
  volume={49},
  pages={109462},
  year={2023}
}

Maitlo, Abdul Khalique; Aziz, Abdul; Raza, Hassnain ; Abbas, Neelam (2023), “Guava Fruit Dataset for Classification ”, Mendeley Data, V1, doi: 10.17632/w3fg8jjmzr.1

This dataset was reformatted from its original format to match HuggingFace standards.