  Graffiti is a common phenomenon in urban scenarios. Differently from urban
art, graffiti tagging is a vandalism act and many local governments are putting
great effort to combat it. The graffiti map of a region can be a very useful
resource because it may allow one to potentially combat vandalism in locations
with high level of graffiti and also to cleanup saturated regions to discourage
future acts. There is currently no automatic way of obtaining a graffiti map of
a region and it is obtained by manual inspection by the police or by popular
participation. In this sense, we describe an ongoing work where we propose an
automatic way of obtaining a graffiti map of a neighbourhood. It consists of
the systematic collection of street view images followed by the identification
of graffiti tags in the collected dataset and finally, in the calculation of
the proposed graffiti level of that location. We validate the proposed method
by evaluating the geographical distribution of graffiti in a city known to have
high concentration of graffiti -- Sao Paulo, Brazil.
