USK-COFFEE Dataset: A Multi-Class Green Arabica Coffee Bean Dataset for Deep Learning

Alifya Febriana, Kahlil Muchtar, Rahmad Dawood, Chih Yang Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

6 引文 斯高帕斯(Scopus)

摘要

Coffee is one of the plantation commodities that plays a big role in the world economy. According to the classification of coffee, each type of coffee has various shapes and textures. Traditional human visual sorting of coffee beans is time-consuming, labor-intensive, and may result in low-quality coffee due to work stress and exhaustion. The contribution of this paper is twofold. First, a new dataset, called USK-Coffee, which contains a total of 8.000 images and is divided into 4 classes, is created and made publicly available. To the best of our knowledge, the USK-Coffee dataset is currently the most comprehensive green coffee bean dataset. Second, this study aims to offer a lightweight and understandable intelligent coffee bean sort accurately system that uses deep learning (DL) to assist farmers in sorting green bean arabica by variety. To be specific, this paper presents a baseline for classification performance on the dataset using the benchmark deep learning models, MobileNetV2, and ResNet-18. These models achieved an average classification accuracy of 81.31% and 81.12%, respectively. The dataset is available at: http://comvis.unsyiah.ac.id/usk-coffee/

原文???core.languages.en_GB???
主出版物標題Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面469-473
頁數5
ISBN(電子)9781665497428
DOIs
出版狀態已出版 - 2022
事件6th IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022 - Virtual, Malang, Indonesia
持續時間: 16 6月 202218 6月 2022

出版系列

名字Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022

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???event.eventtypes.event.conference???6th IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022
國家/地區Indonesia
城市Virtual, Malang
期間16/06/2218/06/22

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