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Computer vision has been introduced to estimate calories from food images.But current food image data sets don't contain volume and mass records offoods, which leads to an incomplete calorie estimation. In this paper, wepresent a novel food image data set with volume and mass records of foods, anda deep learning method for food detection, to make a complete calorieestimation. Our data set includes 2978 images, and every image containscorresponding each food's annotation, volume and mass records, as well as acertain calibration reference. To estimate calorie of food in the proposed dataset, a deep learning method using Faster R-CNN first is put forward to detectthe food. And the experiment results show our method is effective to estimatecalories and our data set contains adequate information for calorie estimation.Our data set is the first released food image data set which can be used toevaluate computer vision-based calorie estimation methods.

Computer vision-based food calorie estimation: dataset, method, and experiment