Research
Education
Sign In
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Please note that all translations are automatically generated. Click here for the English version.
DOI :
10.3791/61906-v
•
13:19 min
March 13th, 2021
Chapters
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
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
-- Views
Related Videos
Privacy
Terms of Use
Policies
Contact Us
Recommend to library
JoVE NEWSLETTERS
JoVE Journal
Methods Collections
JoVE Encyclopedia of Experiments
Archive
JoVE Core
JoVE Business
JoVE Science Education
JoVE Lab Manual
Faculty Resource Center
Authors
Overview
Publishing Process
Editorial Board
Scope and Policies
Peer Review
FAQ
Submit
Librarians
Testimonials
Subscriptions
Access
Resources
Library Advisory Board
ABOUT JoVE
Leadership
Copyright © 2024 MyJoVE Corporation. All rights reserved