Vehicle-Detection and Vehicle-Detection-and-Counter-using-Yolo11
These are competitors offering similar vehicle detection pipelines using successive versions of the YOLO algorithm, with B adding vehicle counting and line-crossing logic while A provides a more general detection framework.
About Vehicle-Detection
MaryamBoneh/Vehicle-Detection
Vehicle Detection Using Deep Learning and YOLO Algorithm
This project helps you accurately identify and count vehicles within images or video footage. You provide a collection of images showing various vehicles, and it outputs trained models that can then process new images to draw boxes around vehicles and label them. This is ideal for traffic analysts, urban planners, or anyone who needs to automate vehicle monitoring.
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.
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