Project-AgML/VegNet_quality_classification

VegNet Quality Classification

A dataset for quality classification of various crops. The dataset contains 6,150 images across 5 classes: Damaged, Dried, Old, Ripe, Unripe.
Images per class:

• Damaged: 317
• Dried: 1,389
• Old: 2,044
• Ripe: 1,787
• Unripe: 613

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

Citation

@article{suryawanshi2022vegnet,
  title={VegNet: dataset of vegetable quality images for machine learning applications},
  author={Suryawanshi, Yogesh and Patil, Kailas and Chumchu, Prawit},
  journal={Data in Brief},
  volume={45},
  pages={108657},
  year={2022},
  publisher={Elsevier}
}

Suryawanshi, Yogesh; PATIL, Kailas; Chumchu, Prawit (2022), “VegNet: Vegetable Dataset with quality (Unripe, Ripe, Old, Dried and Damaged)”, Mendeley Data, V1, doi: 10.17632/6nxnjbn9w6.1