Vehicle-Detection and Yolo-Vehicle-Counter
Both tools are competitors, as they are separate implementations of YOLO for vehicle detection, with the latter project specifically stating it is a modification of a tutorial that could be used to build the former.
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 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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