Traffic-Sign-Detection and Traffic-Sign-Recognition-Using-YOLO

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 19/25
Stars: 292
Forks: 114
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 80
Forks: 19
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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.

autonomous-vehicles traffic-monitoring computer-vision video-analysis

About Traffic-Sign-Recognition-Using-YOLO

MDhamani/Traffic-Sign-Recognition-Using-YOLO

Identifying traffic signs in real time using YOLO for autonomous self driving car

This helps autonomous vehicle engineers quickly identify traffic signs from camera feeds in real-time. It takes raw image data from a vehicle's camera and outputs precise identifications of German traffic signs, enabling the vehicle to understand its environment. This tool is for engineers developing and testing self-driving car systems, particularly those working with European road conditions.

autonomous-driving traffic-sign-detection driver-assistance-systems vehicle-perception robotics

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