Praveenterax/Traffic-sign-Detection-Recognition-Matlab-RandomForest
Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)
This project helps engineers working with autonomous vehicles or traffic monitoring systems to automatically identify and classify road signs from images. You input an image containing various traffic signs, and the system outputs the detected signs and their recognized type (e.g., stop sign, speed limit). It is designed for engineers or researchers building computer vision applications for traffic safety and autonomous driving.
No commits in the last 6 months.
Use this if you need a pre-trained model and framework to detect and recognize common German traffic signs using MATLAB.
Not ideal if you require real-time processing on embedded systems, need to recognize traffic signs from different regions, or prefer not to use MATLAB.
Stars
13
Forks
2
Language
MATLAB
License
—
Category
Last pushed
Jun 25, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/Praveenterax/Traffic-sign-Detection-Recognition-Matlab-RandomForest"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
JeffWang0325/Image-Identification-for-Self-Driving-Cars
🖍️ This project achieves some functions of image identification for Self-Driving Cars. First,...
fredotran/traffic-sign-detector-yolov4
This repository contains my upgraded version of using YoloV4 with OpenCV DNN to detect 4 classes...
VirgileDjimgou/Android-Application-for-Traffic-Sign-Recognition
Android App APTSR is an advanced driver assistance system that recognizes and relays traffic...
ivankrylatskoe/RoadSignsDetector
Demo Android application: Road Signs Detector
khangle2101/Real-Time-Traffic-Signs-Classification-using-CNN-OpenCV
Real-time traffic sign classification using CNNs. Trained on Google Colab, runs via webcam with OpenCV.