I will develop a ball tracking model using tracknet and sportsmot dataset

Are you building an AI-powered sports analytics solution or computer vision application? I develop custom ball tracking models using TrackNet, SportsMOT, and deep learning frameworks to accurately detect and track the ball across sports videos.

Whether you're a sports startup, research lab, analytics company, university, or professional club, I can build high-performance tracking systems for real-time or offline video analysis.

What I Offer:

• TrackNet implementation and customization
• SportsMOT dataset integration
• Ball detection and trajectory tracking
• Multi-object tracking (players & ball)
• Sports video analytics pipelines
• Model training and fine-tuning
• Python, PyTorch & OpenCV development
• Performance optimization and evaluation
• API and deployment support
• Custom dashboards and visualizations

I can develop solutions for football, basketball, tennis, volleyball, hockey, and other sports requiring accurate object tracking and motion analysis.

Whether you need a research prototype, MVP, or production-ready AI system, I'll deliver a scalable solution tailored to your project.

Let's build a reliable sports tracking model powered by state-of-the-art computer vision.