AI in Football & Sports + Interview with Strykerlabs
Update: 2021-02-01
Description
#References
- https://strykerlabs.io/
- What AI can do for Football, and What Football can do for AI - Liverpool Research (enough for this podcast..quite dense)
- Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning
- TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
- SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding ofBroadcast Soccer Videos
- https://techcrunch.com/2021/01/06/veo-raises-25m-for-ai-based-cameras-that-record-and-analyze-football-and-other-team-sports/
- https://www.stancebeam.com/
- https://edisn.ai/
- https://www.fullvenue.ai/
- https://iqoniq.com/
#Social Media
- Adrian Spataru - https://www.linkedin.com/in/spataru/
- Bohdan Andrusyak - https://www.linkedin.com/in/bandrusyak/
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