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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Multi-Optimized approach for Classifying Food Images using faster RCNN
Authors Name: P Shekhar Reddy , Maseeha Naaz , V Naresh , G Rajesh , Prof. Ms. Shubhangi Mahule
Unique Id: IJSDR2205122
Published In: Volume 7 Issue 5, May-2022
Abstract: A well-balanced diet is required for optimal health and nutrition. It protects you from a number of chronic noncommunicable diseases. People are pursuing dietary programmes to help them keep track of their calorie intake since health is such an essential component of our lives, and because people are now spending so much time and money on it. Unless you are a calorie specialist, it is impossible to be familiar with all of the calorie values of all foods. The proposed solution addresses this issue by providing the calorie value per 100gms of food, allowing the individual to consume the proper amount. The proposed model chooses a food image from a collection of different food photos found in the data.The image and name of the meal, as well as the calorie content, will be reflected using faster RCNN. The accuracy of the pre-trained model has been improved using this proposed technique.
Keywords: RPN (Region Proposal Network), RCNN (Region-Based Convolutional Neural Network), CNN (Convolutional Neural Network), Deep Learning
Cite Article: "Multi-Optimized approach for Classifying Food Images using faster RCNN", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 5, page no.683 - 689, May-2022, Available :http://www.ijsdr.org/papers/IJSDR2205122.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2205122
Registration ID:200493
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 683 - 689
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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