I will create cricket analysis ai using computer vision ai sports analytics
About this Gig
Cricket analytics is evolving rapidly with AI sports analytics and sports computer vision. I build advanced cricket analytics AI systems using object detection in sports, computer vision, and face recognition.
My approach includes ball detection tracking, player detection tracking, and sports performance analysis using YOLO object detection, OpenCV sports analysis, and Python computer vision. This enables precise sports data analysis for batting, bowling, and fielding metrics.
Advanced features include real-time object detection, AI video processing, and video analytics AI developed with TensorFlow computer vision and PyTorch computer vision. I also support athlete face recognition, deep learning face recognition, and face detection OpenCV for identity-based analytics.
This gig is ideal for analysts, broadcasters, startups, and researchers looking for scalable sports AI solutions powered by deep learning computer vision.
FAQ
Can you analyze bowling actions? A: Yes, pose estimation supported.
Yes, pose estimation supported.
Do you handle long matches?
Yes, optimized pipelines.

