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Football Video Recognition Pipeline

Python YOLO OpenCV Streamlit

Football Video Recognition Pipeline is a computer-vision-oriented football project aimed at turning raw match footage into structured analytical data. It focuses on learning to detect players and the ball from video so that movement, positioning, and possession-related information can later feed match analysis workflows. Within the portfolio, it represents the earliest point in the data chain: generating usable source data before it is cleaned, modeled, and analyzed in downstream football intelligence tools.