Datasets:
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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license: cc-by-4.0
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task_categories:
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- image-classification
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size_categories:
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- 10K<n<100K
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---
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# Fruitnet Quality Classification
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A dataset for image classification of Fruitnet Quality Classification. The dataset contains 19,526 images across 3 classes: Bad, Good, Mixed.
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Images per class:
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- Bad: 6,788
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- Good: 11,664
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- Mixed: 1,074
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This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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## Citation
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```bibtex
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@article{meshram2022fruitnet,
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title={FruitNet: Indian fruits image dataset with quality for machine learning applications},
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author={Meshram, Vishal and Patil, Kailas},
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journal={Data in Brief},
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volume={40},
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pages={107686},
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year={2022},
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publisher={Elsevier}
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}
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```
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PATIL, Kailas; MESHRAM, Vishal (2022), “FruitNet: Indian Fruits Dataset with quality (Good, Bad & Mixed quality)”, Mendeley Data, V3, doi: 10.17632/b6fftwbr2v.3
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*This dataset was reformatted from its original format to match HuggingFace standards.*
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