Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets
Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets
Patrick McAllister,Huiru Zheng,R. Bond,A. Moorhead
2018 · DOI: 10.1016/j.compbiomed.2018.02.008
115 Citations
TLDR
Pretrained ResNet-152 features provide sufficient generalisation power when applied to a range of food image classification tasks and it is clear that using deep CNN features can be used efficiently for diverse food item image classification.