EXPLORING TRANSFER LEARNING AND CONVOLUTIONAL AUTOENCODER FOR EFFECTIVE KITCHEN UTENSILS CLASSIFICATION

EXPLORING TRANSFER LEARNING AND CONVOLUTIONAL AUTOENCODER FOR EFFECTIVE KITCHEN UTENSILS CLASSIFICATION

Effective classification of kitchen utensils is crucial for advancing assistive technologies and enhancing daily living for individuals with visual impairments. This study investigates the use of transfer learning and convolutional autoencoders to improve classification accuracy. We integrate pre-tr...

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Bibliographic Details
Main Authors: Hashim Rosli, Rozniza Ali, Muhamad Suzuri Hitam, Ashanira Mat Deris, Noor Hafhizah Abd Rahim
Format: Article
Language:English
Published: UiTM Press 2025-04-01
Series:Malaysian Journal of Computing
Subjects:
classification
convolutional autoencoder
deep learning
images
kitchen utensils
transfer learning
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