Traffic-Sign-Detection and TRAFFIC-SIGNS-RECOGNITION

Traffic-Sign-Detection

Established

TRAFFIC-SIGNS-RECOGNITION

Experimental

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 24/25

Maintenance 0/25

Adoption 4/25

Maturity 8/25

Community 12/25

Stars: 292

Forks: 114

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 5

Forks: 1

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-SIGNS-RECOGNITION

xGodlike0/TRAFFIC-SIGNS-RECOGNITION

PyTorch Traffic Sign Classification: A robust CNN model for accurate traffic sign recognition. This project includes a custom-built CNN using PyTorch, data augmentation techniques for improved accuracy, and a real-time testing feature using a webcam. Ideal for enthusiasts in machine learning and autonomous vehicle technologies.

Related comparisons

Traffic-Sign-Detection and traffic-sign-detection Traffic-Sign-Detection and traffic-signs Traffic-Sign-Detection and Traffic-Sign-Recognition-Using-YOLO Traffic-Sign-Detection and Traffic-Sign-classifier-with-Deep-Learning Traffic-Sign-Detection and Traffic-Sign-Detection-Using-CNN Traffic-Sign-Detection and Traffic-Sign-Detection-For-Self-Driving-Cars

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