Skip to main content
. Author manuscript; available in PMC: 2018 Aug 10.
Published in final edited form as: J Health Med Inform. 2017 Jul 15;8(3):272. doi: 10.4172/2157-7420.1000272

Table 1:

Food image databases.

Study Database Image content Total # of class/image Acquisition Reference
Chen et al., 2009 PFID Fast food items from USA 61/1098 Images taken in restaurants and in lab, with white background [21]
Mariappan, 2009 TADA* Common food in USA 256 food+50 replicas Images collected in a controlled environment [26]
Hoashi et al., 2010 Food85* Japanese food 85/8500 Images derived from previous database with 50 Japanese food category and web [25]
Chen, 2012 Chen Chinese food 50/5000 Images downloaded from the web [22]
Matsuda et al., 2012 UEC Food-100 Popular Japanese food 100/9060 Images acquired by digital camera (each photo has a bounding box indicating the location of the food item) [9]
Farinella et al., 2014 Diabetes Selected food 11/4868 Images downloaded from the web [24]
Bossard et al., 2014 Food-101 Popular food in USA 101/101000 Images downloaded from the web [18]
Kawano and Yanai, 2014 UEC Food-256 Popular foods in Japan and other countries 256/31397 Images acquired by digital camera (each photo has a bounding box indicating the location of the food item) [19]
Meyers, 2015 Food201-Segmented* Popular food in USA 201/12625 Images derived from Food 101 dataset; segmented [11]
Beijbom et al., 2015 Menu-Match Food from three restaurants (Asian, Italian, and soup) 41/646 Images taken by authors [20]
Ciocca et al., 2016 UNIMIB2016 Food from dining hall 73/1027 Images acquired by digital camera in dining hall; segmented [8]
Chen and Ngo, 2016 Vireo Chinese dishes 172/110241 Images downloaded from the web [23]
*

Proprietary database