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JoVE Journal Engineering
Deep Neural Networks for Image-Based Dietary Assessment
 

Deep Neural Networks for Image-Based Dietary Assessment

Article DOI: 10.3791/61906-v • 13:19 min • March 13th, 2021
March 13th, 2021 •
1, 2
1Jožef Stefan International Postgraduate School, 2Computer Systems Department, Jožef Stefan Institute

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The goal of the work presented in this article is to develop technology for automated recognition of food and beverage items from images taken by mobile devices. The technology comprises of two different approaches - the first one performs food image recognition while the second one performs food image segmentation.

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Keywords: Image-based Dietary Assessment Deep Neural Networks Food Image Recognition Image Segmentation Fake Food Real Food Food Items Google Custom Search API Image Augmentation CLoDSA Library Image Rotation Image Flipping Color Noise
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