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$100000 NFL Health & Safety – Helmet Assignment Competition

Segment and label helmets in video footage

Aadhithya by Aadhithya
August 13, 2021 - Updated On October 26, 2021
in Expired
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$100000 NFL Health & Safety - Helmet Assignment Competition
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The National Football League (NFL) and Amazon Web Services (AWS) are teaming up to develop the best sports injury surveillance and mitigation program. In previous competitions, Kaggle has helped detect helmet impacts. As a next step, the NFL wants to assign specific players to each helmet, which would help accurately identify each player’s “exposures” throughout a football play.

Currently, the NFL manually annotates a subset of plays each year to determine a sample of exposures for each player. To expand this program, the current player assignment requires a field map to determine player locations. The NFL is interested in matching this model’s accuracy without the need for the mapping step. The league is calling on Kagglers to invent a better way to identify individual players.

The National Football League is America’s most popular sports league. Founded in 1920, the NFL developed the model for the successful modern sports league and is committed to advancing progress in the diagnosis, prevention, and treatment of sports-related injuries. Health and safety efforts include support for independent medical research and engineering advancements as well as a commitment to work to better protect players and make the game safer, including enhancements to medical protocols and improvements to how our game is taught and played. For more information about the NFL’s health and safety efforts, please visit www.NFL.com/PlayerHealthandSafety.

In this competition, you’ll identify and assign football players’ helmets from video footage. In particular, you’ll create algorithms capable of assigning detected helmet impacts to correct players via tracking information. Successful submissions should aim for 90% accuracy.

If successful, you’ll support the NFL in its efforts to efficiently improve player safety. If the league no longer has to manually label each exposure, it would dramatically increase the speed and scale at which they could answer complex research questions related to helmet impact. Automatic player detection would also allow the NFL to back-calculate historic exposure trends, allowing for deeper insights into how to mitigate them in the future.

Awards:-

  • 1st Place – $50,000
  • 2nd Place – $25,000
  • 3rd Place – $13,000
  • 4th Place – $7,000
  • 5th Place – $5,000

Deadline:- 26-10-2021

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Aadhithya

Aadhithya

Serial inventor & innovator with an exemplary track record for problem solving with a diverse skill set. Won 50+ Global innovation awards with innovative technical solutions till date. Currently working on inspiring the next generation of innovators by making innovation opportunities and challenges accessible to people across the world as founder of Givemechallenge.com

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