Cricket Ball Analytics
Real-Time Cricket Ball Tracking
Project Case Study
This project features automated ball trajectory detection with real-time path visualization. It leverages state-of-the-art object detection models, including Detectron2, EfficientDet, and RetinaNet, to accurately track the cricket ball's movement. The system is designed to perform robustly even amidst challenging conditions such as high velocity, occlusions, and varying lighting.
- Department
- AI & Machine Learning
- Status
- Alpha
- Tech Stack
- Python, Detectron2, OpenCV
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Resources
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