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