ML Model for Pickleball Match Analysis
Budget: $250 – $750 CAD
I'm looking for a machine learning model that can analyze pickleball matches from video streams. This model needs to be capable of detecting whether the ball is in or out of the court, monitoring player's feet positions, and tracking the ball's location within the court.
Key requirements:
- Primary focus on accurate ball in/out detection and foot fault detection
- Ability to analyze both live and recorded video streams
- Capability to work with footage from both indoor and outdoor courts
- Should have a way to implement it in a
Ideal candidates for this project should have:
- Extensive experience with machine learning and video analysis
- Prior work with sports analytics would be a plus
- Solid understanding of pickleball and its court dimensions
- Capacity for delivering accurate and reliable results under varying conditions
Key requirements:
- Primary focus on accurate ball in/out detection and foot fault detection
- Ability to analyze both live and recorded video streams
- Capability to work with footage from both indoor and outdoor courts
- Should have a way to implement it in a
Ideal candidates for this project should have:
- Extensive experience with machine learning and video analysis
- Prior work with sports analytics would be a plus
- Solid understanding of pickleball and its court dimensions
- Capacity for delivering accurate and reliable results under varying conditions