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English
$
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I will develop custom sports computer vision for player and ball analytics
About this Gig
Do you have a sports video problem that off the shelf analytics tools cannot solve?
I develop custom computer vision systems for sports footage, turning video into structured information that your team, product, research project, or application can actually use.
Depending on your sport and objective, I can build:
- Player detection and multi object tracking
- Ball detection and trajectory tracking
- Team/player classification
- Movement and positioning analysis
- Speed and distance metrics
- Heatmaps and spatial analytics
- Match event or action detection
- Pose and movement analysis
- Annotated video generation
- Structured CSV/JSON outputs
- Custom analytics pipelines for sports applications
The key focus is your business or technical problem, not simply choosing a popular AI model.
For example, you may need to automatically track athletes, extract player movement, detect a particular game event, measure performance, create a research dataset, or integrate sports vision into an existing application.
Message me now!
FAQ
Do you only work with football and basketball?
No. Football and basketball are strong use cases, but custom sports computer vision can be developed for other sports when the footage and requested task are technically suitable.
What if I have a unique computer vision problem?
That is exactly where a custom project can be useful. Explain the problem, show sample footage, and specify the output you need. The system can then be designed around that requirement.
Can you work with live camera feeds?
Yes, where the camera stream and infrastructure support it. Projects can be designed for recorded videos, RTSP/IP camera feeds, or other streaming workflows depending on the required latency and deployment environment.
Will I receive a trained AI model or source code?
Deliverables depend on the package and project scope. They can include source code, configured or trained models, inference scripts, annotated videos, analytics data, documentation, and integration components.
