FooDD: Food Detection Dataset

Introduction

Here we offer a dataset with images of various foods, taken in different conditions, as described below. For our own research, we use and expand this dataset to design and test Computer Vision techniques that ca recognize foods and estimate their calories and nutrition.

Conditions of Usage

The dataset here is free to use as long as:
1- It is used for non-commercial purposes, AND
2- Reference is given to the following book chapter:

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

For all other usage, please contact shervin@ieee.org

Dataset Image Description

This table describes the data in the dataset. It uses the following Categories:

Category

Camera

Background

Lighting

1

Samsung-S4

White

Light Environment

2

Samsung-S4

White

Dark Environment

3

IOS-4

White

Light Environment

4

IOS-4

White

Dark Environment

5

CanonSD1400

White

Light Environment

6

CanonSD1400

White

Dark Environment

 

Download the Dataset

By downloading the dataset, you agree with the conditions of usage, as described above. The dataset can be downloaded from here.