Food Nutrition Recognition Using Deep-Learning Neural Networks

Authors

  • Zainab Shaikh Department of Computer ,Trinity Academy Of Engineering,Pune,Maharashtra, India
  • Kajal Kurhade Department of Computer ,Trinity Academy Of Engineering,Pune,Maharashtra, India
  • Rutuja Jagtap Department of Computer ,Trinity Academy Of Engineering,Pune,Maharashtra, India
  • Pranita Bhosale Department of Computer ,Trinity Academy Of Engineering,Pune,Maharashtra, India
  • Prof.Sonali.S.Kale Department of Computer ,Trinity Academy Of Engineering,Pune,Maharashtra, India

Keywords:

Food Recognition, SIFT, ANN, neural networks, food image, deep learning

Abstract

Recently there has been a lot of increase in the field of image-based nutritional evaluation. Classifying and recognising are crucial steps for nutritional evaluation. Growth in the deep learning and artificial neural
networks proved to be a blessing for the image classification and recognition tasks, especially for food recognition.
Our results show that the precision of our system is acceptable and it will majorly improve and facilitate current
method of nutrition recognition techniques.

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Published

2018-04-25

How to Cite

Zainab Shaikh, Kajal Kurhade, Rutuja Jagtap, Pranita Bhosale, & Prof.Sonali.S.Kale. (2018). Food Nutrition Recognition Using Deep-Learning Neural Networks. International Journal of Advance Research in Engineering, Science & Technology, 5(4), 504–507. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1496

Issue

Vol. 5 No. 4 (2018): Volume: 05, Issue: 04 - April, 2018.

Section

Articles