MFOOD-70: Moroccan Food Dataset for Food Image Recognition Towards Glycemic Index Estimation

Food image recognition and nutritional analysis, in particular glycemic index (GI), play a crucial role in understanding the impact of diet on human health and the management of chronic diseases such as diabetes. Deep learning, a subset of machine learning, has proven to be a powerful tool in this field. It enables precise recognition of foods from images and provides valuable information on their nutritional content. A food dataset is key to achieving accurate food recognition using deep learning. To the best of this paper’s knowledge, no Moroccan food dataset has been created to handle food image recognition and glycemic index estimation of Moroccan foods. This paper presents a new Moroccan food dataset and a method for food image recognition and nutritional analysis, particularly food glycemic index estimation.