I will build basketball player tracking using ai computer vision sports analysis
About this Gig
Basketball demands precision, speed, and insight exactly what AI sports analytics delivers. I design computer vision project pipelines for basketball player tracking and sports performance analysis using cutting-edge deep learning computer vision.
My solutions combine object detection in sports, player detection tracking, and pose estimation sports using YOLO object detection, OpenCV sports analysis, and Python computer vision. This enables detailed sports data analysis including movement efficiency, defensive coverage, and shot evaluation.
Using AI video processing and video analytics AI, I transform raw footage into actionable insights. For advanced needs, I integrate face detection OpenCV, facial recognition AI, and athlete face recognition using TensorFlow computer vision and PyTorch computer vision.
Whether you are building analytics tools, coaching platforms, or research systems, this gig delivers scalable sports AI solutions and real-time object detection.
Kindly inbox me today for better discussion and understanding regarding your project so we can proceed to transforming you idea into reality.
Programming language:
Python
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MATLAB
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SQL
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MLflow
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Amazon SageMaker
Frameworks:
DeepPy
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Google ML Kit
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SimpleCV
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Keras
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PyTorch
FAQ
Can this work with broadcast footage?
Yes, multiple camera formats supported.
Is the code reusable?
Yes, modular and documented.

