FooDD: Food Detection Dataset for Calorie Measurement Using Food Images
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.
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