Automatic food image recognition systems are alleviating the process of food-intake
estimation and dietary assessment. However, due to the nature of food images, their
recognition is a particularly challenging task, which is why traditional approaches in the field
have achieved a low classification accuracy. Deep neural networks have outperformed such
solutions, and we present a novel approach to the problem of food and drink image
detection and recognition that uses a newly-defined deep convolutional neural network …