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A Deep Learning based Food Recognition System for Lifelog Images

Authors: 

Binh Nguyen, Duc Tien Dang Nguyen, Tien X. Dang , Thai Phat, Cathal Gurrin

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
In this paper, we propose a deep learning based system for food recognition from personal life archive im- ages. The system first identifies the eating moments based on multi-modal information, then tries to focus and enhance the food images available in these moments, and finally, exploits GoogleNet as the core of the learning process to recognise the food category of the images. Preliminary results, experimenting on the food recognition module of the proposed system, show that the proposed system achieves 95.97% classification accuracy on the food images taken from the personal life archive from several lifeloggers, which potentially can be extended and applied in broader scenarios and for different types of food categories.
Conference Name: 
7th International Conference on Pattern Recognition Applications and Methods
Proceedings: 
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods
Digital Object Identifer (DOI): 
10.5220/0006749006570664
Publication Date: 
16/01/2018
Conference Location: 
Portugal
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes