More than 1,000 information analysts from 65 international locations competed in the obstacle and five successful models ended up awarded a full of $100,000. Kippei Matsuda from Osaka, Japan took the best prize of $50,000, adopted by Takuya Ito from Tokyo, Japan who gained $25,000. 3rd, fourth and fifth area finishers been given $13,000, $7,000 and $5,000, respectively. The NFL gave knowledge researchers access to NFL match information and challenged them to build on very last season’s competitiveness, which experienced crowdsourced models to detect helmet impacts from NFL activity footage, to now be in a position to automatically establish the
NFL and AWS Artificial Intelligence Obstacle Awards $100,000 for New Approaches to Instantly Detect Players’ Helmet Impacts, Even more Strengthening Basic safety Initiatives
