In this paper, we show how the power of the crowd can be used
to do complex tasks using human pose estimation as a use case.
Crowdsourcing tasks are usually not very complex and easy to
solve by workers that are not experienced in a certain topic. For
more complex tasks, it is general recommended to use experienced
workers or experts. However, we show that tasks can also be more
complex for non-expert workers and that they produce data that is
close to what experts would report. Therefore, a detailed description
of the crowdsourcing campaign, the methods applied and the
results will be given, and we discuss how the obtained data can be
used.