Automatic food clasiffication
Many people are interested in tracking what they eat to help them achieve weight loss goals or manage their diabetes or food allergies. However, most current mobile apps (MyFitnessPal, LoseIt, etc) require manual data entry, which is tedious and time consuming. Consequently, most users do not use such apps for very long. Furthermore, amateur self-reports of calorie intake typically have an error rate that exceeds 400 calories per day. Rather than rely purely on data entry, several approaches make use of a mobile camera to aid in this task.
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We present a system which can recognize the contents of your meal from a single image, and then pred...
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