xN1ckuz/Crosswalks-Detection-using-YOLO
Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.
This project offers a supervised method for automatically detecting pedestrian crosswalks in images or video feeds. It takes visual input and outputs identified crosswalks, helping to improve road safety for both drivers and pedestrians. This tool is designed for autonomous vehicle developers, traffic management engineers, or smart city planners looking to enhance pedestrian detection systems.
Use this if you need to accurately identify the presence and location of pedestrian crosswalks from camera data to improve safety or traffic flow.
Not ideal if you require real-time detection on embedded systems with limited computational resources without further optimization.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Feb 08, 2026
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