About
Online Kuih Identifier is a web application for identifying Traditional Malay cakes. It is based on MobileNetV2 Convolutional Neural Network architecture.
Online Kuih Identifier is trained using TensorFlow with Keras, and made available on the web with the help of TensorFlow.js library.
Mobile Application version
An Android Mobile Application version is available at on Google Play store as Kuih Spotter.
List of Kuih
Currently the Kuih Spotter can detect 36 kuihs (Malay Cakes), which are:
- apam gula hangus
- apambalik
- apom lenggang
- background
- bahulu
- bingka
- buahmelaka
- cara
- cara berlauk
- cucurbadak
- dendram
- karas
- karipap
- kasturi kacang hijau
- keklapis
- keria
- ketayap
- kuih bakar kemboja
- kuih buah rotan
- kuih cekmek molek
- kuih sagu
- kuih siput
- lompang
- loyang
- onde onde
- penjaram
- popia basah
- popiagoreng
- puteri ayu
- putu piring
- roti jala
- samosa
- sepit
- seri muka
- tepung gomak
- tepung pelita
- tepung talam
Author
Mohammad Hafiz bin Ismail (mypapit@gmail.com)
For any enquiries, please send an email to deeplearn@uitm.edu.my
Referencing this work
You 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/kuihweb.