  Methods for creating a system to automate the collection of swimming
analytics on a pool-wide scale are considered in this paper. There has not been
much work on swimmer tracking or the creation of a swimmer database for machine
learning purposes. Consequently, methods for collecting swimmer data from
videos of swim competitions are explored and analyzed. The result is a guide to
the creation of a comprehensive collection of swimming data suitable for
training swimmer detection and tracking systems. With this database in place,
systems can then be created to automate the collection of swimming analytics.
