Multi-Optimized approach for Classifying Food Images using faster RCNN
P Shekhar Reddy
, Maseeha Naaz , V Naresh , G Rajesh , Prof. Ms. Shubhangi Mahule
RPN (Region Proposal Network), RCNN (Region-Based Convolutional Neural Network), CNN (Convolutional Neural Network), Deep Learning
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.
"Multi-Optimized approach for Classifying Food Images using faster RCNN", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.683 - 689, May-2022, Available :https://ijsdr.org/papers/IJSDR2205122.pdf
Volume 7
Issue 5,
May-2022
Pages : 683 - 689
Paper Reg. ID: IJSDR_200493
Published Paper Id: IJSDR2205122
Downloads: 000347188
Research Area: Computer Science & Technology
Country: Ghatkesar, Hyderabad, Telangana, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
