Project-AgML/sapota_fruit_size_classification

Sapota Fruit Size Classification

A dataset for classification of Sapota Fruit Size. The dataset contains 6,010 images across 4 classes: Large, Medium, Small, Spoiled.
Images per class:

• Large: 1,451
• Medium: 1,416
• Small: 1,443
• Spoiled: 1,700

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

Citation

@article{bhatt2025dedicated,
  title={Dedicated dataset of Sapota (Manilkara zapota) fruit for machine vision applications},
  author={Bhatt, Anita and Joshi, Maulin},
  journal={Data in Brief},
  pages={111896},
  year={2025},
  publisher={Elsevier}
}

Bhatt, Anita; Joshi, Maulin (2025), “Sapota Fruit Datasets”, Mendeley Data, V2, doi: 10.17632/jgtb95x6kf.2

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