Track bicyclists in a city

Analyzing bicycle traffic can be challenging due to the absence of license plates and unpredictable trajectories. Our advanced system simplifies this task by adeptly detecting, counting, and identifying bicyclists across multiple cameras. Operating in real-time on an NVIDIA Jetson Xavier NX, our solution boasts an impressive 0.83 F1-score for the ReID task, showcasing its effectiveness and accuracy in addressing complex urban mobility challenges.