FooDD: Food Detection Dataset for Calorie Measurement Using Food Images

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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

Comments

<p>nyc site</p>

Submitted by mehak dhir on Mon, 08/10/2020 - 15:23

exercise my code

Submitted by xu han on Wed, 04/13/2022 - 04:12

good dataset, very useful

Submitted by Wei Fang on Thu, 08/13/2020 - 20:35

thanks, nice work

Submitted by wang yu on Tue, 08/18/2020 - 21:12

When I downloaded this I did not find any labels regarding the calories associated with each food, where could I find that?

Submitted by Alberto Rodriguez on Tue, 01/18/2022 - 16:09

Dataset Files

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