  Representation is the way in which human beings re-present the reality of
what is happening, both externally and internally. Thus, visual representation
as a means of communication uses elements to build a narrative, just as spoken
and written language do. We propose using computer analysis to perform a
quantitative analysis of the elements used in the visual creations that have
been produced in reference to the epidemic, using the images compiled in The
Covid Art Museum's Instagram account to analyze the different elements used to
represent subjective experiences with regard to a global event. This process
has been carried out with techniques based on machine learning to detect
objects in the images so that the algorithm can be capable of learning and
detecting the objects contained in each study image. This research reveals that
the elements that are repeated in images to create narratives and the relations
of association that are established in the sample, concluding that, despite the
subjectivity that all creation entails, there are certain parameters of shared
and reduced decisions when it comes to selecting objects to be included in
visual representations
