FooDD: Food Detection Dataset for Calorie Measurement Using Food Images

Citation Author(s):
Parisa
Pouladzadeh
Abdulsalam
Yassine
Shervin
Shirmohammadi
Submitted by:
Shervin Shirmoh...
Last updated:
Sat, 08/01/2020 - 15:43
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, published in IEEE TIM 2014
Paper that uses the dataset with Deep Learning, published in ACM TOMM 2017
License:
Creative Commons Attribution
13779 Views
Categories:
Computer Vision
Keywords:
Food image dataset, Food calorie measurement, Food computing
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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

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