Revolutionising food advertising monitoring: a machine learning-based method for automated classification of food videos
Michele Bittencourt Rodrigues,
Victória Pedrazzoli Ferreira,
Rafael Moreira Claro
et al.
Abstract:Objective:
Food advertising is an important determinant of unhealthy eating. However, analyzing a large number of advertisements (ads) to distinguish between food and non-food content is a challenging task. This study aims to develop a machine learning-based method to automatically identify and classify food and non-food ad videos.
Design:
Methodological study to develop an algorithm model that prioritizes both accuracy and efficiency in monitoring and classifying advertising videos.
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