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image imagewidth (px) 1.28k 1.28k | label class label 3
classes | quality class label 4
classes |
|---|---|---|
0grade-1 | 0quality-1 | |
0grade-1 | 0quality-1 | |
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Pomegranate Quality Classification
A dataset for classification of Pomegranate quality. The dataset contains 1,080 images across 3 classes: G1_Q1, G2_Q1, G3_Q1.
Images per class:
- G1_Q1: 360
- G2_Q1: 360
- G3_Q1: 360
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{kumar2021image,
title={Image dataset of pomegranate fruits (Punica granatum) for various machine vision applications},
author={Kumar, Arun and Rajpurohit, Vijay S and Gaikwad, Nilesh N},
journal={data in Brief},
volume={37},
pages={107249},
year={2021},
publisher={Elsevier}
}
Dr. Vijay S Rajpurohit, and Kshitijarun Y Bidari. (2020). Pomegranate Fruit Dataset [Dataset]. Kaggle. https://doi.org/10.34740/KAGGLE/DS/551234
This dataset was reformatted from its original format to match HuggingFace standards.
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