FooDD: Food Detection Dataset for Calorie Measurement Using Food Images

Name: FooDD: Food Detection Dataset for Calorie Measurement Using Food Images
Creator: Shervin Shirmohammadi
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Computer Vision

Citation Author(s):: Parisa Pouladzadeh

Abdulsalam Yassine

Shervin Shirmohammadi
Submitted by:: Shervin Shirmohammadi
Last updated:: Sat, 08/01/2020 - 19:43
DOI:: 10.21227/yvk7-qk38
Data Format:: images
Links:: Paper with details about this dataset

published in ICIAP 2015

Paper that uses the dataset with SVM

15917 views

Categories:

Computer Vision

Keywords:

Food image dataset

Food calorie measurement

Food computing

CITE

Abstract

Images of various foods, taken with different cameras and different lighting conditions. Images can be used to design and test Computer Vision techniques that can recognize foods and estimate their calories and nutrition.

Instructions:

Please note that in its full view, the human thumb in each image is approximately 5 cm by 1.2 cm.

For more information, please see:

P. Pouladzadeh, A. Yassine, and S. Shirmohammadi, “FooDD: Food Detection Dataset for Calorie Measurement Using Food Images”, in New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, V. Murino, E. Puppo, D. Sona, M. Cristani, and C. Sansone, Lecture Notes in Computer Science, Springer, Volume 9281, 2015, ISBN: 978-3-319-23221-8, pp 441-448. DOI: 10.1007/978-3-319-23222-5_54