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Project-AgML/pomegranate_quality_classification

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

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Pomegranate Quality Classification

A dataset for classification of Pomegranate quality. The dataset contains 1,080 images across 3 classes: G1Q1, G2Q1, 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

bibtex

@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.