Automatic food clasiffication


Topic | v1 | created by janarez |
Description

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.


Source unavailable
Relations

uses ImageNet

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

a tool for Calorie intake measurement

Concerns measuring the calorie and nutritional content of food.

a subtopic of Computer vision

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


Edit topic New topic

Resources

is treated in Application of Deep Learning in Food: A Review

4.0 rating 3.0 level 5.0 clarity 6.0 background – 1 rating

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

No intermediate resources matching your criteria have been registered, yet.

is treated in Im2Calories: Towards an Automated Mobile Vision Food Diary

5.0 rating 7.0 level 7.0 clarity 5.0 background – 1 rating

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

No unrated resources matching your criteria have been registered, yet.