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.
No commits in the last 6 months.
Stars
5
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/xGodlike0/TRAFFIC-SIGNS-RECOGNITION"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
davidbrai/deep-learning-traffic-lights
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
aarcosg/traffic-sign-detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for...
thibo73800/capsnet-traffic-sign-classifier
A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset
hoanglehaithanh/Traffic-Sign-Detection
Traffic signs detection and classification in real time
alexstaravoitau/traffic-signs
Building a CNN based traffic signs classifier.