UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2305C75


Registration ID:
517673

Page Number

m535-m539

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Title

FOOD DISCERNMENT AND CALORIES ESTIMATION USING SEGMENTATION

Abstract

Food detection and calorie estimation using segmentation has received a lot of attention for its ability to promote health and help people manage their health. This article explores the use of segmentation techniques, such as sample segmentation, to accurately identify and quantify food in images or videos. By combining deep learning models learned from large amounts of food information, the system can predict the calorie content of mixed foods. The technology promises to be useful in measuring calories and ingredients as well as enabling people to make health-conscious food choices. This article discusses progress, challenges and future directions in this field.

Key Words

Computer vision, ML, DL, object detection, Instance segmentation, Optimizer and loss function

Cite This Article

"FOOD DISCERNMENT AND CALORIES ESTIMATION USING SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m535-m539, May-2023, Available :http://www.jetir.org/papers/JETIR2305C75.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FOOD DISCERNMENT AND CALORIES ESTIMATION USING SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm535-m539, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C75.pdf

Publication Details

Published Paper ID: JETIR2305C75
Registration ID: 517673
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: m535-m539
Country: kolhapur , Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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