Dataset used for training a Machine Learning model to classify tennis serves into “In”, “Out” and “Net” as well as 
predict the outcome coordinates of the serve. A marker-based motion capture system provided and operated by 
The University of Bath’s Applied BioMechanics Suite was used to collect spatio-temporal data on participants 
completing tennis serves, whilst a high-speed video camera recorded the outcome. Dataset has two parts: 
1) The spatio-temporal data used for training and validation 2) The serve outcome and coordinates for labelling of 
the data.