Project-AgML/FruitNet_quality_classification

Fruitnet Quality Classification

A dataset for image classification of Fruitnet Quality Classification. The dataset contains 19,526 images across 3 classes: Bad, Good, Mixed.
Images per class:

• Bad: 6,788
• Good: 11,664
• Mixed: 1,074

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

Citation

@article{meshram2022fruitnet,
  title={FruitNet: Indian fruits image dataset with quality for machine learning applications},
  author={Meshram, Vishal and Patil, Kailas},
  journal={Data in Brief},
  volume={40},
  pages={107686},
  year={2022},
  publisher={Elsevier}
}

PATIL, Kailas; MESHRAM, Vishal (2022), “FruitNet: Indian Fruits Dataset with quality (Good, Bad & Mixed quality)”, Mendeley Data, V3, doi: 10.17632/b6fftwbr2v.3

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