Analysis of the Impact of Data Augmentation on the Performance of Deep Learning Models in Multispectral Food Authenticity Identification

Yaru Zhang, Arif Yilmaz, Mirela Popa, Christopher Brewster

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Fingerprint

Dive into the research topics of 'Analysis of the Impact of Data Augmentation on the Performance of Deep Learning Models in Multispectral Food Authenticity Identification'. Together they form a unique fingerprint.

Keyphrases

INIS

Psychology

Immunology and Microbiology

Food Science

Chemical Engineering