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Project-AgML/bruised_vegetable_classification

Bruised Vegetable Classification A dataset for classification of Bruised Vegetable Classification. The dataset contains 4,464 images across 3 classes. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{samanta2025nature, title={Nature's best vs. bruised: A veggie edibility evaluation database}, author={Samanta, Bidisha and Banerjee, Sriparna and Das, Ranadhir and Chaudhuri, Sheli Sinha and Djemal… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/bruised_vegetable_classification.

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Bruised Vegetable Classification

A dataset for classification of Bruised Vegetable Classification. The dataset contains 4,464 images across 3 classes.

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

Citation

bibtex

@article{samanta2025nature,
  title={Nature's best vs. bruised: A veggie edibility evaluation database},
  author={Samanta, Bidisha and Banerjee, Sriparna and Das, Ranadhir and Chaudhuri, Sheli Sinha and Djemal, Khalifa and Feiz, Amir Ali},
  journal={Data in Brief},
  volume={60},
  pages={111483},
  year={2025},
  publisher={Elsevier}
}

Samanta, Bidisha ; Banerjee, Sriparna; Das, Ranadhir; Sinha Chaudhuri, Sheli; Djemal, Khalifa (2024), “Nature's Best vs. Bruised: A Veggie Evaluation”, Mendeley Data, V2, doi: 10.17632/b2mvj3kjfx.2

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