Building training and testing playgrounds to help advance sport analytics AI solutions out of the lab and into the real world is exceedingly challenging. In team-based sports, building a correct playing strategy before the championship season is a key to success for any professional coach and club owner. While coaches strive at providing best tips and point out mistakes during the game…
]]>In AI and computer vision, data acquisition is costly and time-consuming and human-based labeling can be error-prone. The accuracy of the models is also affected by insufficient and poorly balanced data and the prolonged time required to improve the deep learning models. It always requires the reacquisition of data in the real world. The collection, preparation of data…
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