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All Journal JOIV : International Journal on Informatics Visualization Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics
Rahmat Hidayat
Politeknik Negeri Padang, Padang, Indonesia
Computer Science & IT Control & Systems Engineering

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Journal : Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics

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Perbandingan Akurasi EfficientNetV2 dan MobileNetV2 pada Klasifikasi Makanan Tradisional Indonesia Ahmad Rayhan; Rahmat Hidayat; Rita Afyenni
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 10 No 2 (2024): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v10i2.3326

Abstract

Machine learning is a rapidly evolving technology that has led to numerous advancements, especially in the field of computer vision. Within this domain, many models have been introduced, including EfficientNetV2 and MobileNetV2. Given the wide range of model choices, it is essential to compare the accuracy of each model. This involves data collection, resizing and sorting data, visualizing data, and finally tuning and training processes. In this study, it was found that the accuracy of EfficientNetV2 is 31%, while MobileNetV2 achieves an accuracy of 99%.
Co-Authors - Suprihatin Ahmad Rayhan Ani Apriani Cheah WaiShiang Iwan Tri Riyadi Yanto Rita Afyenni Rofiul Wahyudi