Smart Food Recognition Using Image AI
Author(s):
Shabeentaj GA, Adesh Gowda S, Monisha K, Ramya KS, Kavyashree A R
Keywords:
Smart Food Recognition Using Image AI
Abstract
For the purpose of facilitating healthcare applications, many works have been proposed for food image analysis, such as food recognition and ingredient recognition. However, research on combining various factors has been conducted relatively less frequently. In this essay, we argue that a food image is best represented by both the type of food it is and the method of preparation. We suggest neural networks to simultaneously take into account food recognition, ingredient recognition, and cooking method recognition, and we demonstrate that performance can be enhanced by considering many parameters. We compile a dataset of food images with accurate ingredient information and show the efficiency of the suggested recognition models from various angles. Overweight and obesity have long been associated with a diet high in calories and a sedentary lifestyle.
Article Details
Unique Paper ID: 159637

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 1021 - 1025
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews