JoVE Logo
Faculty Resource Center

Sign In

Deep Neural Networks for Image-Based Dietary Assessment

DOI :

10.3791/61906-v

13:19 min

March 13th, 2021

March 13th, 2021

8,153 Views

1Jožef Stefan International Postgraduate School, 2Computer Systems Department, Jožef Stefan Institute

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.

Tags

Deep Neural Networks

-- Views

Related Videos

article

Concurrent Quantitative Conductivity and Mechanical Properties Measurements of Organic Photovoltaic Materials using AFM

article

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores

article

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

article

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass (ADG) Fresnel Lens for Concentrating Photovoltaics

article

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

article

Impacts of Free-falling Spheres on a Deep Liquid Pool with Altered Fluid and Impactor Surface Conditions

article

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

article

Automated Delivery of Microfabricated Targets for Intense Laser Irradiation Experiments

article

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media

article

3D Printing - Evaluating Particle Emissions of a 3D Printing Pen

JoVE Logo

Privacy

Terms of Use

Policies

Research

Education

ABOUT JoVE

Copyright © 2024 MyJoVE Corporation. All rights reserved