<<<"UEC FOOD 256": 256-kind food dataset (release 1.0)>>>
The dataset "UEC FOOD 256" contains 256-kind food photos. Each food photo has a bounding box indicating the location of the food item in the photo. Most of the food categories in this dataset are popular foods in Japan and other countries. Therefore, some catarogies might not be familiar with other people than Japanese. This dataset was built to implement a practical food recognition system which is intend to be used in Japan. In fact, we have released a real-time 256-kind food recognition application for Android smartphones. You can get to know the detail and download an APK file from http://foodcam.mobi/ . UECFOOD-256 Dataset Ver.1.0This ZIP file contains the following files: [1-256] : directory names correspond to food ID. [1-256]/*.jpg : food photo files (some photos are duplicated in two or more directories, since they includes two or more food items.) [1-256]/bb_info.txt: bounding box information for the photo files in each directory category.txt : food list including the correspondences between food IDs and food names in English category_ja.txt : food list including the correspondences between food IDs and food names in Japanese multiple_food.txt: the list representing food photos including two or more food items Note that this dataset can be used only for non-commercial research purpose. If you like to use it for any other purpose, please contact us.
If you publish a paper using our food dataset, we'd glad if you could refer to the following paper: Yoshiyuki Kawano and Keiji Yanai, Automatic Expansion of a Food Image Dataset Leveraging Existing Categories with Domain Adaptation, Proc. of ECCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), 2014. (to appear) (PDF)
@InProceedings{kawano14c,
author="Kawano, Y. and Yanai, K.",
title="Automatic Expansion of a Food Image Dataset Leveraging Existing Categories with Domain Adaptation",
booktitle="Proc. of ECCV Workshop on Transferring and Adapting Source
Knowledge in Computer Vision (TASK-CV)",
year="2014",
}
If you have comments and questions, please feel free to send e-mail
to the contact address.
Contact: Food Recognition Research Group: Kawano Yoshiyuki (Master Student) Prof. Keiji Yanai food-group@mm.cs.uec.ac.jp Department of Informatics, The University of Electro-Communications, Tokyo, Japan