As a martial arts enthusiast, I’m always on the lookout for innovative ways to improve my skills. That’s why I was thrilled to stumble upon a Reddit post about building a deep learning image model system to identify BJJ positions in matches. This concept has the potential to revolutionize the sport, and I’m excited to dive deeper into its possibilities.
The Concept
The idea is to develop an AI-powered system that can classify and track positions throughout BJJ matches. This would allow users to search for specific positions, combinations, and even filter matches by time spent in certain positions. The system, called BJJHQ, aims to provide an interactive positional timeline beneath match videos, making it easier to analyze and learn from the best.
The Roadmap
The developer has outlined an ambitious roadmap, including:
- Expanding the match database and position categories
- Technique/submission recognition
- Automated scoring system built on this positional foundation
These features would not only enhance the user experience but also provide valuable insights for competitors, coaches, and fans alike.
The Potential Impact
Imagine being able to instantly access all matches where a specific scenario occurs, such as ‘Gordon Ryan in back control.’ This system would enable users to learn from the best, analyze their own performances, and even gain a competitive edge. It could also open up new opportunities for coaches, analysts, and commentators to provide more in-depth insights and commentary.
Collaboration and Feedback
The developer is keen to collaborate with others and gather feedback on this project. If you’re interested in contributing or have thoughts on how to improve the system, now’s the time to reach out.
The Future of BJJ
The potential of AI-powered position tracking in BJJ is vast. It could change the way we learn, analyze, and appreciate the sport. As the system continues to evolve, I’m excited to see its impact on the BJJ community.