traffic-sign-detection and GTSRB

traffic-sign-detection
50
Established
GTSRB
48
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 336
Forks: 101
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 128
Forks: 49
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

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 GTSRB

surmenok/GTSRB

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

This project helps classify German traffic signs from images. You input an image of a German traffic sign, and it tells you which type of sign it is, from a set of 43 possibilities. This is useful for researchers and engineers working on autonomous driving systems or traffic management solutions.

autonomous-vehicles traffic-management computer-vision image-recognition

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