Application of Deep Learning in Food: A Review

Resource | v1 | created by janarez |
Type Paper
Created 2019-09-16
Identifier ISSN: 1541-4337


Deep learning has been proved to be an advanced technology for big data analysis with a large number of successful cases in image processing, speech recognition, object detection, and so on. Recently, it has also been introduced in food science and engineering. To our knowledge, this review is the first in the food domain.


about Automatic food clasiffication

Many people are interested in tracking what they eat to help them achieve weight loss goals or manag...

references Im2Calories: Towards an Automated Mobile Vision Food Diary

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

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4 rating 3 level 5 clarity 6 user's background

First available "comprehensive" review
Quite superficial, ad hoc. Sometimes the language was unclear.
It gives general overview that at this time is not available elsewhere, but its quality is poor.