Application of deep learning and artificial intelligence for food image recognition and analysis to monitor food intake of people and know their nutritional composition
Use of deep learning and artificial intelligence for food image recognition and analysis to know their nutritional composition. This allows to avoid malnutrition problems and to monitor diets of people with different problems. The group has participated in the creation of AIGECKO, a spin-off that has developed LOGMEAL API.
PI: Petia Radeva
Research group: Computer Vision and Machine Learning
Institution: Computer Vision Center (CVC) – Universitat de Barcelona (UB)
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