lynguyenminh/CS114.M11.Vietnam-traffic-sign-detection
Đồ án môn Máy Học (Thầy An): Phát hiện và phân loại biển báo giao thông đường bộ Việt Nam.
This project helps in automatically detecting and classifying over 50 common Vietnamese road traffic signs from images or video feeds. It takes visual data of roads as input and identifies which specific traffic signs are present, indicating their type and location. This tool would be useful for urban planners, traffic management authorities, or developers of autonomous driving systems in Vietnam.
No commits in the last 6 months.
Use this if you need an automated way to identify and categorize Vietnamese road signs from visual data for traffic monitoring, infrastructure assessment, or intelligent vehicle applications.
Not ideal if your primary need is for traffic sign detection in other countries with different signage standards or if you require real-time, highly robust performance for safety-critical autonomous vehicles without further development.
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Jan 16, 2023
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