Meat-Quality-Assessment-Dataset

Authors: O. Ulucan, D. Karakaya, M. Turkan

Department of Electrical and Electronics Engineering, Izmir University of Economics, Izmir, Turkey

Corresponding author: M. Turkan

Contact Information: [email protected]

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General Introduction

This dataset contains 2 classes, fresh and spoiled red meat samples collected from a supermarket in Izmir, Turkey for a university-industry collaboration project at Izmir University of Economics, and this work was published in ASYU 2019.

• Paper : Meat Quality Assessment based on Deep Learning

If you use this dataset in your work, please consider to cite:

@inproceedings{ulucan2019meat,
title={Meat quality assessment based on deep learning},
author={Ulucan, Oguzhan and Karakaya, Diclehan and Turkan, Mehmet},
booktitle={2019 Innovations in Intelligent Systems and Applications Conference (ASYU)},
pages={1--5},
year={2019},
organization={IEEE}
}

• O.Ulucan, D.Karakaya, and M.Turkan.(2019) Meat quality assessment based on deep learning. In Conf. Innovations Intell. Syst. Appli. (ASYU)

Purpose of the work

This dataset was collected in order to develop a meat quality assessment system which is based on deep learning. All of the experimental results which are explained in the paper, prove the usability of our dataset and our model can successfully distinguish between the classes with high accuracy.

Resolution and the Number of the Images

Images were collected via an IP camera and the resolution of the images are 1280 x 720. There are 1896 images in total, 948 per class.