ECUSTFD-resized-

Background

Obesity is a medical condition in which excess body fat has accumulated to the extent that it may have a negative effect on health. Obesity treatment requires the patients to eat healthy food and decrease the amount of daily calorie intake. For those patients, it is helpful that calories can be estimated from photos.

Many methods based on computer vision have been created to estimate calories. There are three steps in calorie estimation: capturing food image(s), detecting food and calibration object, estimating calorie of each food.

For those methods, especially deep learning methods, they need a corresponding image dataset to train and test. However, most of the image datasets concentrate on the food detection and just provide different categories of objects, which is not helpful in visual measurement. That's why we create our food image dataset named ECUSTFD(ECUST Food Dataset).

Introduction

ECUSTFD is a free public food image dataset. Our dataset has 19 types of food as shown in the figure . The number of food images is 2978. The number of images and the number of objects for the same type are shown as follows:

red plate	white plate

Assessment

The dataset with original images and no annotations is publicly available at this BaiduYun. The small image dataset including annotations, volume and quality information is available at this github or BaiduYun.

For ECUSTFD with original images, we only provide images as referred. But we provide the food's weight information in ECUSTFD_WEIGHT folder. If you are interested in character recognition, you can use those images.

For the small-size ECUSTFD, The annotations of images are saved in the folder named Annotations and images are saved in the JPEGImages folder. density.xls saves food's volume and quality information.