Automatic food clasiffication

Topic | v1 | created by janarez |

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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subtopic of Computer vision

Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-...

used by Calorie intake measurement

Concerns measuring the calorie and nutritional content of food.

uses ImageNet

The ImageNet project is a large visual database designed for use in visual object recognition softwar...

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treated in Application of Deep Learning in Food: A Review

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Deep learning has been proved to be an advanced technology for big data analysis with a large number...

treated in Im2Calories: Towards an Automated Mobile Vision Food Diary

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We present a system which can recognize the contents of your meal from a single image, and then pred...