traffic-sign-detection and Traffic-Signs-Dataset-in-YOLO-format
About traffic-sign-detection
aarcosg/traffic-sign-detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
This project provides pre-trained models and code for automatically identifying traffic signs in images or video. It takes raw image data as input and outputs the location and type of traffic signs present. This is designed for researchers and engineers developing advanced driver-assistance systems (ADAS) or autonomous vehicle technology.
About Traffic-Signs-Dataset-in-YOLO-format
EhsanR47/Traffic-Signs-Dataset-in-YOLO-format
Traffic Signs Dataset in YOLO format
This is a dataset of traffic sign images specifically formatted for use with YOLO (You Only Look Once) object detection models. It helps machine learning engineers and researchers train and evaluate AI models designed to recognize and classify various traffic signs. You input this dataset into a YOLO model, and the model learns to identify traffic signs in new images or video feeds.
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