Food Detection and Calorie Estimation using Yolov3 and Yolov5

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9923

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DC Field	Value	Language
dc.contributor.author	Vinnakota, Srinaga Sai Kartik	-
dc.contributor.author	Singh, Sumant Kumar	-
dc.contributor.author	Pandit, Shweta [Guided by]	-
dc.date.accessioned	2023-09-11T05:06:00Z	-
dc.date.available	2023-09-11T05:06:00Z	-
dc.date.issued	2023	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9923	-
dc.description	Enrolment No. 191043, 191036	en_US
dc.description.abstract	As people become more aware of the advantages of a balanced diet, there has been an increase in the demand for automated food recognition systems. Such systems can not only predictably identify food products, but they can also estimate nutritional values, making them especially useful for dietary appraisal and preparation. This can benefit patients with various dietary requirements as well as healthier people by preventing nutrition-related diseases.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Machine learning	en_US
dc.subject	Food	en_US
dc.subject	Calorie	en_US
dc.subject	Neural Networks	en_US
dc.title	Food Detection and Calorie Estimation using Yolov3 and Yolov5	en_US
dc.type	Project Report	en_US
Appears in Collections:	B.Tech. Project Reports

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Food Detection and Calorie Estimation using Yolov3 and Yolov5.pdf		1.41 MB	Adobe PDF	View/Open