In this paper we present a system for food recognition in the wild, implemented as a set of web services (IVLFood-WS). It integrates different solutions based on Deep Learning and Convolutional Neural Networks that we have developed in recent years within past and ongoing projects. The system tackles different aspects of image food analysis such as food localization, classification and retrieval. Results show that a complete system that integrates our solutions can be effectively exploited for supporting user in keeping track of their daily food consumption in uncontrolled environment (i.e. in the wild).
Ciocca, G., Napoletano, P., Schettini, R. (2018). IVLFood-WS: Recognizing food in the wild using Deep Learning. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.1-6). IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576207].
IVLFood-WS: Recognizing food in the wild using Deep Learning
Ciocca, G;Napoletano, P;Schettini, R
2018
Abstract
In this paper we present a system for food recognition in the wild, implemented as a set of web services (IVLFood-WS). It integrates different solutions based on Deep Learning and Convolutional Neural Networks that we have developed in recent years within past and ongoing projects. The system tackles different aspects of image food analysis such as food localization, classification and retrieval. Results show that a complete system that integrates our solutions can be effectively exploited for supporting user in keeping track of their daily food consumption in uncontrolled environment (i.e. in the wild).
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