Food Recognition and Nutrition Estimation using MobileNetV2 CNN architecture and Transfer Learning

Moumane, Karima; El Asri, Ikram; Cheniguer, Taoufiq; Elbiki, Soufiane

doi:10.1109/sita60746.2023.10373725

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Food Recognition and Nutrition Estimation using MobileNetV2 CNN architecture and Transfer Learning

Cited by 3 publications

References 23 publications

Accurate & real-time food classification through the synergistic integration of EfficientNetB7, CBAM, transfer learning, and data augmentation

Accurate & real-time food classification through the synergistic integration of EfficientNetB7, CBAM, transfer learning, and data augmentation

Deep Image Synthesis, Analysis and Indexing Using Integrated CNN Architectures

Enhancing Nutrition Tracking: Webcam-Based Fruit and Vegetable Recognition and Calorie Measurement Using Image Processing and Convolutional Neural Networks

Contact Info

Product

Resources

About