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I will develop custom sports computer vision for pose estimation and match analytics
About this Gig
Are you looking for a professional developer to build a custom Sports Computer Vision solution for pose estimation and match analytics?
I specialise in developing AI powered sports vision systems using YOLO, OpenCV, Python, MediaPipe, PyTorch, and Deep Learning to analyse athlete movements, improve performance, and generate valuable match insights. Whether you're building software for football, basketball, volleyball, tennis, or fitness applications, I can create a reliable and scalable solution tailored to your needs.
Services Included
- Human Pose Estimation
- Athlete Movement Analysis
- Player Tracking
- Ball Detection & Tracking
- Team Classification
- Match Analytics
- Heatmaps & Tactical Analysis
- Speed & Distance Measurement
Why Choose Me?
- Experienced Computer Vision Developer
- High Accuracy AI Models
- Optimised Python Code
- Scalable & Production Ready Solutions
Whether you're creating a coaching platform, sports analytics software, athlete performance tool, or research project.
Please contact me before placing your order so we can discuss your project goals and recommend the best solution.
Other Data Science & ML Services I Offer
FAQ
Can you analyse athlete posture throughout an entire match?
Yes. I can build systems that estimate poses frame by frame, allowing detailed movement analysis, performance evaluation, and technique assessment.
Can the solution work with different camera angles?
Yes. I can optimise the model for broadcast footage, training videos, CCTV feeds, or custom camera setups, depending on the quality of your data.
Can you integrate the model into my existing application?
Absolutely. I can integrate the solution into desktop, web, cloud, or backend systems through APIs or custom deployment workflows.
