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Deep Neural Networks for Image-Based Dietary Assessment
JoVE Journal
Engineering
Author Produced
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JoVE Journal Engineering
Deep Neural Networks for Image-Based Dietary Assessment
DOI:

13:19 min

March 13, 2021

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Chapters

  • 00:00Introduction
  • 00:44Food Image Recognition with NutriNet
  • 05:08Food Image Segmentation with FCNs
  • 07:22Food Image Segmentation with HTC ResNet
  • 11:24Representative Results
  • 12:22Conclusion

Summary

Automatic Translation

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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