Traffic-Sign-Detection and traffic-sign-detection
These are **competitors** — both implement deep neural network-based traffic sign detection systems with similar real-time inference capabilities, requiring users to choose one codebase over the other rather than use them together.
About Traffic-Sign-Detection
hoanglehaithanh/Traffic-Sign-Detection
Traffic signs detection and classification in real time
This system helps analyze video footage to identify and categorize traffic signs in real-time. It takes a video file as input and outputs the video with detected traffic signs highlighted and classified. This is useful for researchers or developers working on autonomous driving features or traffic monitoring systems.
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.
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