Food/Non-food Image Classification

ghalib tahir & Loo Chu Kiong
Recently food recognition is a vital topic among researchers, as it automates the food logging process besides having applications in Food Safety, Food Quality Detection, Inspection, etc. The advancement in deep learning technology on edge computing and cloud computing leads to the development of hybrid solutions by considering the advantages of these computing platforms. For large scale, experiments, we gathered and prepared a Food/Non-Food dataset created from the existing image datasets of UECFOOD256, Caltech 256,...
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