FoodAI: Food image recognition via deep learning for smart food logging

An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can help fitness enthusiasts, and people who wanting to achieve a target weight. Howev...

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Main Authors: SAHOO, Doyen, WANG, Hao, SHU, Ke, WU, Xiongwei, LE, Hung, ACHANANUPARP, Palakorn, LIM, Ee-peng, HOI, Steven C. H.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/4427
https://ink.library.smu.edu.sg/context/sis_research/article/5430/viewcontent/4._FOODAI_FOOD_IMAGE_RECOGNITION_VIA_DEEP_LEARNING_FOR_SMART_FOOD_LOGGING__KDD2019_.pdf
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-54302020-03-24T02:43:19Z FoodAI: Food image recognition via deep learning for smart food logging SAHOO, Doyen WANG, Hao SHU, Ke WU, Xiongwei LE, Hung ACHANANUPARP, Palakorn LIM, Ee-peng HOI, Steven C. H., An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can help fitness enthusiasts, and people who wanting to achieve a target weight. However, food-logging is cumbersome, and requires not only taking additional effort to note down the food item consumed regularly, but also sufficient knowledge of the food item consumed (which is difficult due to the availability of a wide variety of cuisines). With increasing reliance on smart devices, we exploit the convenience offered through the use of smart phones and propose a smart-food logging system: FoodAI, which offers state-of-the-art deep-learning based image recognition capabilities. FoodAI has been developed in Singapore and is particularly focused on food items commonly consumed in Singapore. FoodAI models were trained on a corpus of 400,000 food images from 756 different classes.In this paper we present extensive analysis and insights into the development of this system. FoodAI has been deployed as an API service and is one of the components powering Healthy 365, a mobile app developed by Singapore's Heath Promotion Board. We have over 100 registered organizations (universities, companies, start-ups) subscribing to this service and actively receive several API requests a day. FoodAI has made food logging convenient, aiding smart consumption and a healthy lifestyle. 2019-08-08T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4427 info:doi/10.1145/3292500.3330734 https://ink.library.smu.edu.sg/context/sis_research/article/5430/viewcontent/4._FOODAI_FOOD_IMAGE_RECOGNITION_VIA_DEEP_LEARNING_FOR_SMART_FOOD_LOGGING__KDD2019_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Food Computing Image Recognition Smart Food Logging Artificial Intelligence and Robotics Databases and Information Systems Health Information Technology
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Food Computing
Image Recognition
Smart Food Logging
Artificial Intelligence and Robotics
Databases and Information Systems
Health Information Technology
spellingShingle Food Computing
Image Recognition
Smart Food Logging
Artificial Intelligence and Robotics
Databases and Information Systems
Health Information Technology
SAHOO, Doyen
WANG, Hao
SHU, Ke
WU, Xiongwei
LE, Hung
ACHANANUPARP, Palakorn
LIM, Ee-peng
HOI, Steven C. H.,
FoodAI: Food image recognition via deep learning for smart food logging
description An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can help fitness enthusiasts, and people who wanting to achieve a target weight. However, food-logging is cumbersome, and requires not only taking additional effort to note down the food item consumed regularly, but also sufficient knowledge of the food item consumed (which is difficult due to the availability of a wide variety of cuisines). With increasing reliance on smart devices, we exploit the convenience offered through the use of smart phones and propose a smart-food logging system: FoodAI, which offers state-of-the-art deep-learning based image recognition capabilities. FoodAI has been developed in Singapore and is particularly focused on food items commonly consumed in Singapore. FoodAI models were trained on a corpus of 400,000 food images from 756 different classes.In this paper we present extensive analysis and insights into the development of this system. FoodAI has been deployed as an API service and is one of the components powering Healthy 365, a mobile app developed by Singapore's Heath Promotion Board. We have over 100 registered organizations (universities, companies, start-ups) subscribing to this service and actively receive several API requests a day. FoodAI has made food logging convenient, aiding smart consumption and a healthy lifestyle.
format text
author SAHOO, Doyen
WANG, Hao
SHU, Ke
WU, Xiongwei
LE, Hung
ACHANANUPARP, Palakorn
LIM, Ee-peng
HOI, Steven C. H.,
author_facet SAHOO, Doyen
WANG, Hao
SHU, Ke
WU, Xiongwei
LE, Hung
ACHANANUPARP, Palakorn
LIM, Ee-peng
HOI, Steven C. H.,
author_sort SAHOO, Doyen
title FoodAI: Food image recognition via deep learning for smart food logging
title_short FoodAI: Food image recognition via deep learning for smart food logging
title_full FoodAI: Food image recognition via deep learning for smart food logging
title_fullStr FoodAI: Food image recognition via deep learning for smart food logging
title_full_unstemmed FoodAI: Food image recognition via deep learning for smart food logging
title_sort foodai: food image recognition via deep learning for smart food logging
publisher Institutional Knowledge at Singapore Management University
publishDate 2019
url https://ink.library.smu.edu.sg/sis_research/4427
https://ink.library.smu.edu.sg/context/sis_research/article/5430/viewcontent/4._FOODAI_FOOD_IMAGE_RECOGNITION_VIA_DEEP_LEARNING_FOR_SMART_FOOD_LOGGING__KDD2019_.pdf
_version_ 1770574766519877632