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: 336
Forks: 101
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
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

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.

autonomous-driving traffic-management computer-vision ADAS object-detection

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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