In Indonesia, there are many types of cakes that are categorized as traditional snacks. Refer to the Kamus Besar Bahasa Indonesia; snacks are defined as foods that are peddled or mean bites. Snacks are classified based on how they are made, and some are based on the taste of the snacks. Traditional snacks are a part of Nusantara culture that is mandatory for those born and live in Indonesia to preserve them. But in reality, many people tend to consume and know more about modern snacks than traditional ones. In fact, not many people have even tried traditional snacks or even made their own at home. This application was developed to help people distinguish and recognize the various kinds of cakes on the market. With convolutional neural networks technology in machine learning, people can use image classification presented through mobile applications with accuracy above 90% for Indonesian traditional cake recognition.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.