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RWMF: A Real-World Multimodal Foodlog Database

Citation Author(s):
Pengfei Zhou (Zhejiang University of Technology)
Cong Bai (Zhejiang University of Technology)
Kaining Ying (Zhejiang University of Technology)
Jie Xia (Zhejiang University of Technology)
Lixin Huang (Zhejiang University of Technology)
Submitted by:
Cong Bai
Last updated:
DOI:
10.21227/z82q-vp72
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Abstract

Real-World Multimodal Foodlog Database (RWMF) database is built for evaluating the multimodal retrieval algorithm in real-life dietary environment, and it has 7500 multimodal pairs in total, where each image can be related to multiple texts and each text can be related to multiple images. Details of this database can be found in this paper: Pengfei Zhou, Cong Bai, Kaining Ying, Jie Xia, Lixin Huang, RWMF: Real-World Multimodal Foodlog Database, ICPR 2020

Instructions:

Since this is a multimodal database, the images in RWMF is related to texts by share the same tag, which is saved in `Foodhealth/im_label` * `Foodlog`: the real-world food images and the associative instant bio-data { ** `Image`: the folder that contains all the real-world foodlog images. ** `biodata.csv`: the csv file that contains all the associative instant bio-data, these data are associated to food images by the file names of images. ** `biodata.txt`: the txt that indicate the attributes of each column in `biodata.csv`. ** `data_category.csv`: the health category tags that help the model test the performance of cross-modal retrieval. ** `data_category.txt`: the txt that indicate the attributes of each column in `data_category.csv`. } * `Foodhealth`: the food description texts and the associative food nutrition composition data { ** `description.csv`: the csv file that contains all the food description texts refered to each tag. ** `description.txt`: the txt file that indicate the attributes of each column in `description.csv`. ** `composition.csv`: the csv file that contains all the food nutrition composition data refered to each tag. ** `composition.txt`: the txt file that indicate the attributes of each column in `composition.csv`. ** `im_label.csv`: the csv file that contains all the tags related to each image. ** `im_label.txt`: the txt file that indicate the attributes of each column in `im_label.csv`. }

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