This repository contains a dataset that proposed in the paper "Visual Quality Inspection of Pomegranate Crop Using a Novel Dataset and Deep Learning" and consists of three quality classes of pomegranate fruit related to their postharvest intended use.
The dataset follows the following structure:
├── Dataset
├── QA_Class_1
img1
img2
img3
...
├── QB_Class_2
img1
img2
img3
...
├── QC_Class_3
img1
img2
img3
...
If you use our dataset in a scientific publication, please use the following bibtex citation:
@INPROCEEDINGS{
9854435,
author={Koufatzis, Avraam and Vrochidou, Eleni and Papakostas, George A.},
booktitle={2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP)},
title={Visual Quality Inspection of Pomegranate Crop Using a Novel Dataset and Deep Learning},
year={2022},
volume={CFP2255E-ART},
number={},
pages={1-4},
doi={10.1109/IWSSIP55020.2022.9854435}