Datasetpublic

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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/VegNet_quality_classification.

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face

0likes16downloads

Dataset Card

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

bibtex

@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