Vehicle-Detection-and-Counter-using-Yolo11 and vehicle-counting-using-python-yolo
Both projects are competitors offering similar vehicle detection and counting functionalities, primarily differing in their specific YOLO versions and implementation details for handling traffic scenarios.
About Vehicle-Detection-and-Counter-using-Yolo11
SrujanPR/Vehicle-Detection-and-Counter-using-Yolo11
This project implements vehicle detection and counting using YOLOv11 and OpenCV. It processes a video file to track and count vehicles that cross a predefined red line, providing real-time visualizations of the detections and counts.
This project helps traffic engineers or urban planners automatically count vehicles in video footage. You provide a video file of traffic, and it processes each frame to detect vehicles and counts how many cross a specified line. The output is a new video file with overlaid visualizations of detected vehicles and their real-time counts, helping you analyze traffic flow.
About vehicle-counting-using-python-yolo
bamwani/vehicle-counting-using-python-yolo
Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.
This tool helps traffic engineers and urban planners automatically count vehicles in crowded traffic videos. You provide a video recording of traffic, and it outputs a new video with detected vehicles highlighted and a running count. This is ideal for monitoring traffic flow and analyzing road usage patterns.
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