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BNR Jam - Computer Vision + Machine Learning Basketball Game
RectSports - A facial detection / Tracking based player analytics (Basketball)
Automatic video analysis for basketball : train YOLO v3 + CSRT tracker
Basketball Players Tracking by Machine Learning
Basketball Handler Judgment by Machine Learning
Sync Week - The Basketball Internet of Things Machine Learning Hack
Basketball Ball Tracking and Long Shot Detection
Basketball game statistics extration by ball and player tracking using MaskRCNN
Basketball AI: Player Tracking, Team Detection, and Number Recognition with Python
Build an AI/ML NBA Basketball Analysis system with YOLO, OpenCV, and Python
basketball player detection using yolov8
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Last Updated: September 28, 2026
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Details @ github.com/stephanj/basketballVideoAnalysis/wiki/Home. Course project for CSE - 6367 Computer Vision. Project Overview This project presents an end-to-end BNR Jam is a computer vision and Rectsports (rectsports.rectlabs.com) is a pipeline product birth/ built Players frequent overlaps and occlusions make great challenge to tracking players. Extraction of high level statistics by tracking In this video, you'll learn how to
Basketball Highlight Detection Using Machine Learning.pdf
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