Food Recognition and Nutrition Estimation using MobileNetV2 CNN architecture and Transfer Learning-Reference-Cited by-同舟云学术

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

Published:2023-11-22 Issue: Volume:91 Page:1-7
ISSN:
Container-title:2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA)
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Author:

Moumane Karima¹,El Asri Ikram²,Cheniguer Taoufiq³,Elbiki Soufiane³

Affiliation:

1. Mohammed V University,Software Project Management Research Team, ENSIAS,Rabat,Morocco

2. INPT,STRS Laboratory, SEEDS Team,Rabat,Morocco

3. Mohammed V University,ENSIAS,Rabat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373588/10373590/10373725.pdf?arnumber=10373725

Reference27 articles.

1. The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images

2. Deep learning in food category recognition

3. The Joint WHO/FAO Expert Consultation on diet, nutrition and the prevention of chronic diseases: process, product and policy implications

4. Importance of Nutrients and Nutrient Metabolism on Human Health;Chen,2018

5. Defining a Healthy Diet: Evidence for the Role of Contemporary Dietary Patterns in Health and Disease

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Nutrition Tracking: Webcam-Based Fruit and Vegetable Recognition and Calorie Measurement Using Image Processing and Convolutional Neural Networks;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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