Food recognition is an important task for a variety of applications, including managing health
conditions and assisting visually impaired people. Several food recognition studies have …

Deep learning is a new research direction in the field of machine learning, which was
introduced into machine learning to bring it closer to its original goal. Accurate dish …

The lack of data representative of the Chilean diet precludes providing accurate applications
based on real foods consumed by Chilean society. Moreover, for the multi-label food …

Transfer Learning (TL) is a design methodology within machine learning (ML) that aims to
utilise knowledge gained while solving one problem to solve a different but related problem …