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

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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

bibtex

@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.