Lightweight and Parameter-Optimized Real-Time Food Calorie Estimation from Images Using CNN-Based Approach

Lightweight and Parameter-Optimized Real-Time Food Calorie Estimation from Images Using CNN-Based Approach

Automated object identification has seen significant progress during the last decade with close to human-level accuracy, aided by deep learning methods. With the rapid rise of obesity and other lifestyle-related diseases worldwide, the availability of fast, automated, and reliable image-based food c...

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Bibliographic Details
Main Authors: Rakib Ul Haque, Razib Hayat Khan, A. S. M. Shihavuddin, M. M. Mahbubul Syeed, Mohammad Faisal Uddin
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
food image classification
calorie estimation
image recognition
convolution neural networks
Online Access:https://www.mdpi.com/2076-3417/12/19/9733

Internet

https://www.mdpi.com/2076-3417/12/19/9733

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