This repository uses Faster R-CNN for object detection of vehicles and people, combined with DBSCAN clustering to identify traffic congestion areas in Dhaka city. It provides a robust solution for monitoring and analyzing traffic patterns to pinpoint congested regions effectively.
computer-vision deep-learning traffic-analysis faster-rcnn object-detection vehicle-detection dhaka dbscan-clustering pedestrian-detection traffic-congestion traffic-anomaly
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Updated
Jun 13, 2024 - Jupyter Notebook