Traffic-Sign-Detection and Traffic-Sign-Detection-Using-CNN

Traffic-Sign-Detection
50
Established
Traffic-Sign-Detection-Using-CNN
31
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 12/25
Stars: 292
Forks: 114
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 4
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
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-Detection-Using-CNN

MustafaBanatwala04/Traffic-Sign-Detection-Using-CNN

An application built with TensorFlow and Keras for traffic sign detection. Utilizes Convolutional Neural Networks (CNNs) to accurately identify and classify traffic signs from images. Achieved an accuracy of 98.89% on the test dataset. Simply upload images to classify traffic signs. Contributions welcome!

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