  Although one of the most popular practices in photography since the end of
the 19th century, an increase in scholarly interest in family photo albums
dates back to the early 1980s. Such collections of photos may reveal
sociological and historical insights regarding specific cultures and times.
They are, however, in most cases scattered among private homes and only
available on paper or photographic film, thus making their analysis by
academics such as historians, social-cultural anthropologists and cultural
theorists very cumbersome. In this paper, we analyze the IMAGO dataset
including photos belonging to family albums assembled at the University of
Bologna's Rimini campus since 2004. Following a deep learning-based approach,
the IMAGO dataset has offered the opportunity of experimenting with photos
taken between year 1845 and year 2009, with the goals of assessing the dates
and the socio-historical contexts of the images, without use of any other
sources of information. Exceeding our initial expectations, such analysis has
revealed its merit not only in terms of the performance of the approach adopted
in this work, but also in terms of the foreseeable implications and use for the
benefit of socio-historical research. To the best of our knowledge, this is the
first work that moves along this path in literature.
