Evaluating machine learning technologies for food computing from a data set perspective

Evaluating machine learning technologies for food computing from a data set perspective

<div><p>Food plays an important role in our lives that goes beyond mere sustenance. Food affects behavior, mood, and social life. It has recently become an important focus of multimedia and social media applications. The rapid increase of available image data and the fast evolution of ar...

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Bibliographic Details
Main Author: Nauman Ullah Gilal (17302714) (author)
Other Authors: Khaled Al-Thelaya (17302711) (author), Jumana Khalid Al-Saeed (17725971) (author), Mohamed Abdallah (3073191) (author), Jens Schneider (16885948) (author), James She (17725974) (author), Jawad Hussain Awan (17725977) (author), Marco Agus (8032898) (author)
Published: 2023
Subjects:
Built environment and design
Architecture
Information and computing sciences
Software engineering
Food computing
Food data sets
Applications
Food recognition
Food classification
Caloric estimation
Machine learning
Deep learning
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