Vehicle-Detection-and-Counter-using-Yolo11 and Yolo-Vehicle-Counter
These are competitors, as both projects implement vehicle detection and counting using YOLO and OpenCV, serving the same core functionality independently.
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 Yolo-Vehicle-Counter
rickynazarrudin/Yolo-Vehicle-Counter
YoLo is a CNN architecture which specialize in object detection. I am using tutorial from https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/ to develop my own modification. This project aims to count every vehicle(motorcycle, bus, car, cycle, truck) detected in the input image/video.
This tool helps you automatically count vehicles like motorcycles, buses, cars, bicycles, and trucks present in images or video footage. You provide an image or video, and it outputs a count of the detected vehicles. It's useful for anyone needing to quickly quantify vehicles in visual media without manual review, such as traffic analysts or event planners.
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