© 2022 Mohammad Hafiz bin Ismail
Online Kuih Identifier is a web application for identifying Traditional Malay cakes. It is based on the MobileNetV2 Convolutional Neural Network architecture.
The model was trained using TensorFlow with Keras and deployed on the web using the TensorFlow.js library.
The model can detect 36 types of traditional Malay kuih. An "unknown" class is also included for non-kuih images.
Mohammad Hafiz bin Ismail (mypapit@gmail.com)
For any enquiries, please contact:
deeplearn@uitm.edu.my
An Android mobile application version is available on the Google Play Store:
Kuih SpotterYou may cite this work as:
Ismail, M. H. (2022). Web-based Malay Kuih Identifier Utilizing Convolutional Neural Network. Retrieved from: https://demo.mobilepit.com/ai/kuihweb2/