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JoVE Journal

Engineering

Author Produced

This content is Open Access.

Deep Neural Networks for Image-Based Dietary Assessment

8.5K Views

13:19 min

March 13th, 2021

March 13th, 2021

8,514 Views

0:00

Introduction

0:44

Food Image Recognition with NutriNet

5:08

Food Image Segmentation with FCNs

7:22

Food Image Segmentation with HTC ResNet

11:24

Representative Results

12:22

Conclusion

Transcript

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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