Food Classification and Meal Intake Amount Estimation through Deep Learning
This paper proposes a method to classify food types and to estimate meal intake amounts in pre- and post-meal images through a deep learning object detection network. The food types and the food regions are detected through Mask R-CNN. In order to make both pre- and post-meal images to a same captur...
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Fformat: | Erthygl |
Iaith: | English |
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MDPI AG
2023-05-01
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Cyfres: | Applied Sciences |
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Mynediad Ar-lein: | https://www.mdpi.com/2076-3417/13/9/5742 |