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Engineering
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基于图像的饮食评估深度神经网络
JoVE Journal
Engineering
Author Produced
This content is Free Access.
JoVE Journal
Engineering
Deep Neural Networks for Image-Based Dietary Assessment
Please note that all translations are automatically generated.
Click here for the English version.
基于图像的饮食评估深度神经网络
DOI:
10.3791/61906-v
•
13:19 min
•
March 13, 2021
•
Simon Mezgec
,
Barbara Koroušić Seljak
1
Jožef Stefan International Postgraduate School
,
2
Computer Systems Department
,
Jožef Stefan Institute
Chapters
00:00
Introduction
00:44
Food Image Recognition with NutriNet
05:08
Food Image Segmentation with FCNs
07:22
Food Image Segmentation with HTC ResNet
11:24
Representative Results
12:22
Conclusion
Summary
Automatic Translation
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Automatic Translation
本文介绍的工作目标是开发从移动设备拍摄的图像中自动识别食品和饮料物品的技术。该技术由两种不同的方法组成 - 第一种方法执行食物图像识别，而第二种方法执行食物图像分割。
Tags
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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