Dataset for food calorie estimation
ECUSTFD a novel food image data set with volume and mass records of foods, and a deep learning method for food detection, to make a complete calorie estimation. Our data set includes 2978 images, and every image contains corresponding each food's annotation, volume and mass records, as well as a certain calibration reference.For a single food portion, we took several groups of images by using smart phones; each group of images contains a top view and a side view of this food. For each image, there is only one coin as calibration object and no more than two foods in it. If there are two food in the same image, the type of one food is different from another. We provide two datasets for researchers: one includes original images and another includes resized images. The size of each image in resized dataset is less than 1000*1000.