Classification of Turkish cuisine with deep learning on mobile platform

dc.authorid0000-0002-3325-4731
dc.contributor.authorKayıkçı, Şafak
dc.contributor.authorBaşol, Yusuf
dc.contributor.authorDörter, Elanur
dc.date.accessioned2021-06-23T19:53:45Z
dc.date.available2021-06-23T19:53:45Z
dc.date.issued2019
dc.departmentBAİBÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description4th International Conference on Computer Science and Engineering (UBMK) -- SEP 11-15, 2019 -- Samsun, TURKEYen_US
dc.description.abstractIn recent years, image classification has been a subject that is often dealt with in computerized vision. This is mainly due to the fact that more accurate results can be achieved in less time by using the classification method. In this study, food classification process has been carried out by using Convolutional Neural Network (CNN) that is frequently preffered deep learning techniques in machine learning issues. According to the obtained results, the highest accuracy rate was obtained by using Stochastic Gradient Descent (SGD) optimization algorithm with Softmax activation function. That accuracy rate was calculated as 93%. A conversion is applied to trained model in order to use in mobile devices. Application was used to recognize food whose photo taken and/or selected. In addition, for food name having the highest recognition percentage; calorie, nutritional values, recipe ingredients and recipe were given. Our study 'Turk Mutfagi' was made ready to applying food classification in iOS devices and usage in daily life.en_US
dc.description.sponsorshipIEEE, IEEE Turkey Secten_US
dc.identifier.endpage300en_US
dc.identifier.isbn978-1-7281-3964-7
dc.identifier.scopus2-s2.0-85076209712en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage296en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12491/10228
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/8906992
dc.identifier.wosWOS:000609879900056en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKayıkçı, Şafak
dc.institutionauthorBaşol, Yusuf
dc.institutionauthorDörter, Elanur
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 4Th International Conference On Computer Science And Engineering (Ubmk)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectFood Classificationen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectInceptionv3en_US
dc.subjectiOSen_US
dc.titleClassification of Turkish cuisine with deep learning on mobile platformen_US
dc.typeConference Objecten_US

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