  Emotions and smell are underrepresented in digital art history. In this
exploratory work, we show that recognising emotions from smell-related artworks
is technically feasible but has room for improvement. Using style transfer and
hyperparameter optimization we achieve a minor performance boost and open up
the field for future extensions.
