traffic-sign-recognition | Topic

Topic: "traffic-sign-recognition"

hoanglehaithanh/Traffic-Sign-Detection

Traffic signs detection and classification in real time

Language: Python - Size: 213 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 206 - Forks: 93

dineshresearch/Novel-Deep-Learning-Model-for-Traffic-Sign-Detection-Using-Capsule-Networks

capsule networks that achieves outstanding performance on the German traffic sign dataset

Language: Jupyter Notebook - Size: 4.57 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 109 - Forks: 49

ituracingdriverless/TTVS

Türkiye Trafik İşaretleri Veriseti - Turkish Traffic Sign Dataset

Language: Python - Size: 46.6 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 67 - Forks: 86

MDhamani/Traffic-Sign-Recognition-Using-YOLO

Identifying traffic signs in real time using YOLO for autonomous self driving car

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 60 - Forks: 19

alen-smajic/Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment

This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.

Language: C# - Size: 2.13 GB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 39 - Forks: 3

vamsiramakrishnan/TrafficSignRecognition

A Deep Neural Network to do traffic sign recognition

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 36 - Forks: 29

aarcosg/tsr-torch

Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".

Language: Lua - Size: 231 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 31 - Forks: 4

Arjun-Narula/Traffic-Light-Controller-using-Verilog

the project includes system design of a t intersection traffic light controller and its verilog code in vivado design suite.

Language: JavaScript - Size: 2.07 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 29 - Forks: 7

POSTECH-IMLAB/Traffic_sign_ADAS Fork of nyamnym/Traffic_sign_ADAS

Size: 2.35 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 30

Kunkun-Jia/TSR-SA

Repository for TSR-SA

Language: C - Size: 4.95 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 24 - Forks: 4

fredotran/traffic-sign-detector-yolov4

This repository contains my upgraded version of using YoloV4 with OpenCV DNN to detect 4 classes of traffic road signs : traffic lights, speed limit signs, crosswalk and stop signs.

Language: Jupyter Notebook - Size: 108 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 10

rahulsonone1234/Traffic-Sign-Recognition

To ease the driver to identify the Traffic Signs and also for the efficient working of Self-Driving Cars.

Language: Python - Size: 3.21 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 7

pierluigiferrari/traffic_sign_classifier

A traffic sign classifier built with TensorFlow

Language: Python - Size: 12.1 MB - Last synced at: 15 days ago - Pushed at: over 7 years ago - Stars: 18 - Forks: 6

LaErre9/Zynq_Ultrascale_Vitis_AI_CNN_ZCU102

Workflow for Executing CNN Networks on Zynq Ultrascale+ with VITIS AI. Detailed analysis, configuration, and execution of Convolutional Neural Networks on ZCU102 using VITIS AI, evaluating performance on the board compared to Cloud infrastructure. Developed for educational exam purposes.

Language: Jupyter Notebook - Size: 252 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 2

DURGESH716/Traffic-Sign-Detection-For-Self-Driving-Cars

A deep learning model has been developed especially for self-driving cars like Tesla, which uses complete automatic support to drive the vehicle to recognizes traffic signs and follow them properly

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 2

sarveshj/Traffic_sign_recognition

Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.

Language: MATLAB - Size: 2.74 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 12 - Forks: 1

moabitcoin/signfeld

Synthetic traffic sign detectron

Language: Python - Size: 27.4 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 5

Vicondrus/Roadster

In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.

Language: Python - Size: 470 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 2

hparik11/German-Traffic-Sign-Recognition

Deep neural networks and convolutional neural networks to classify German traffic signs.

Language: HTML - Size: 8.8 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 8

chiragsamal/Traffic-Sign-Recognition

Traffic Signs Detection and Recognition with Keras

Language: Jupyter Notebook - Size: 210 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 10

JunshengFu/traffic-sign-recognition

Built and trained a deep neural network to classify traffic signs, using TensorFlow.

Language: Jupyter Notebook - Size: 9.39 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 9 - Forks: 13

YaelBenShalom/Objects-Recognition-and-Classification

Objects recognition and classification using machine learning, computer vision and real-time object detection algorithm

Language: Python - Size: 303 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2

ejimenezb/Intelligent-Traffic-Light-Control-System.

Proyecto de control de trafico e intercepción de semáforos inteligentes.

Language: C - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 5

Praveenterax/Traffic-sign-Detection-Recognition-Matlab-RandomForest

Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)

Language: MATLAB - Size: 4.83 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

eugeneyan84/Classification-and-Detection-of-Singapore-Road-Traffic-Signs

Proof-of-concept on object detection of 7 classes of road traffic signs in Singapore, with pre-trained SSD Mobilenet V2, using Tensorflow 2 Object Detection API. General Assembly (Singapore) Data Science Immersive (DSI 18) Capstone Project.

Language: Jupyter Notebook - Size: 130 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

TayyabAsghar/Erkenner

Erkenner is a Traffic Sign Detection and Recognition Mobile App.

Language: Dart - Size: 226 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

quangkhoi1228/traffic_sign_recognize

Recognize signs from environmental images using deep learning

Language: JavaScript - Size: 80.2 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

prasunkar/CS50AI

My work on CS50's Introduction to Artificial Intelligence with Python.

Language: Python - Size: 21.9 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

sathviktn/Traffic-Sign-Recognition

Hello everyone. This is a mini project on traffic sign recognition based on deep learning and CNN. It is written in Python3 on Jupyter Notebook and the dataset is from the kaggle website. Link to the dataset - https://www.kaggle.com/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign .

Language: Jupyter Notebook - Size: 142 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

juhilsomaiya/Traffic_Sign_Recognition_MachineLearing

This repository contains Traffic Sign Recognition using tenserflow.

Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2

duyndh98/DigitalRace_2017-2018_UniversityRound

Cuộc đua số (2017 -2018) University Round - Detect and Recognize Traffic Signs using OpenCV and Machine Learning

Language: Python - Size: 9.75 MB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 3

hiit-tabata/German-Traffic-Sign-Classification

Language: Jupyter Notebook - Size: 118 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 1

guoxxiong/Traffic_Sign_Detect

Modified yolov3 is employed to detect traffic signs.

Language: Python - Size: 42 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

sichkar-valentyn/Traffic-Signs-Classification-with-CNN

Effective Traffic Signs Classification by CNN

Language: Jupyter Notebook - Size: 6.14 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

jordankzf/hough-circle-traffic-light

Detect and recognise traffic lights using Hough circle transform implemented with OpenCV and Python

Language: Python - Size: 29.8 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

junthbasnet/Traffic-Sign-Classification-using-ConvNets

🚸⛔Novel Deep Convolutional Network is proposed for traffic sign classification that achieves outstanding performance on GTSRB surpassing the best human performance of 98.84%.

Language: Jupyter Notebook - Size: 57.6 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

ayushexploring/lane-detection-traffic-sign-recognition

Lane Detection using OpenCV, Traffic Sign Recognition and Deep Learning Concepts

Language: Jupyter Notebook - Size: 29.4 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

CecchiLinux/machine_learning

We build a traffic sign classifier with multi-scale Convolutional Networks using Keras

Language: Jupyter Notebook - Size: 141 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 1

Ansh420/Traffic-Sign-Classification-using-deep-learning

we will build a deep neural network model that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs which are a very important task for all autonomous vehicles.

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

ayushgayakwad/road-sign-recognition

The Road Sign Recognition project is a real-time detection system designed to recognize road signs across 43 different classes. The project leverages the YOLOv5 model, which is trained on the GTSRB - German Traffic Sign Recognition Benchmark dataset.

Language: Python - Size: 16.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

oscardelgado02/Signal-Detection-and-Classification-DL-Model

Deep Learning project that uses yolov5 to detect and classify traffic signals in videos.

Language: Jupyter Notebook - Size: 1.48 GB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

giuseppericcio/Zynq_Ultrascale_Vitis_AI_CNN_ZCU102 Fork of LaErre9/Zynq_Ultrascale_Vitis_AI_CNN_ZCU102

Workflow for executing CNN Networks on Zynq Ultrascale+ with Vitis AI toolchain. Detailed analysis, configuration and execution of Convolutional Neural Networks on ZCU102 using Vitis AI, evaluating performance on the board compared to Cloud infrastructure (eg. Kaggle). Developed for educational exam purposes.

Language: Jupyter Notebook - Size: 252 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

mohammadmozafari/digital-image-processing

Exploring some techniques for processing images.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Ankit152/TrafficSignal

A deep learning model to classify Traffic Signals.

Language: Python - Size: 4.78 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

GUVENAli/traffic-sign-detection

Language: C++ - Size: 1.74 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

AryanSharma5/TrafficSignRecognition

Traffic sign recognition

Language: HTML - Size: 8.62 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

saimj7/German-Traffic-Sign-Recognition Fork of iamshirdi/German-Traffic-Sign-Recognition

Part of my Master Thesis in Autonomous Driving.

Language: Jupyter Notebook - Size: 3.48 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

sichkar-valentyn/traffic_sign

Traffic Sign Classification with Convolutional Neural Networks in Python

Size: 21.5 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

AbdoTareq/self-driving-car

Language: Python - Size: 41 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 4

KazukiChiyo/traffic-sign

Traffic sign classification based on German road signs.

Language: HTML - Size: 14.5 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

ttungl/SDC-term1-Traffic-Sign-Classifier

Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting. The datasets are collected from the German Traffic Sign for training and random traffic signs downloaded from internet for testing.

Language: HTML - Size: 2.59 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

duongludien/nienluan

Traffic-sign Detection

Language: TeX - Size: 49.4 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 3

feklistoff/CarND-Traffic-Sign-Recognition

Udacity SDCND Project 2. Deep Learning and Convolutional Neural Networks.

Language: Jupyter Notebook - Size: 25.1 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

sayak119/traffic_sign_recog

traffic sign recognition using CNN

Language: Python - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 1

cwong8751/traffic_ml_models

My experiments on machine learning models (YOLOv5, CNN) on identifying traffic signs and traffic lights.

Language: Jupyter Notebook - Size: 304 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Snigdho8869/Traffic-Sign-Detection

A Flask-based web application for detecting traffic signs using a pre-trained deep learning model.

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ognjenvujovic04/traffic-computer-vision

A deep learning project implementing a Convolutional Neural Network (CNN) in TensorFlow to classify German traffic signs. Features parallel image processing, custom model architecture, and 95%+ accuracy on the GTSRB dataset. Built as part of Harvard's CS50 AI course.

Language: Python - Size: 35.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Tiesstes/TO_project_2025

Yolo11 trained on Polish traffic signs (Warsaw and vicinity)

Language: Python - Size: 1.89 GB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AliTahir-101/finnish-traffic-sign-recognition

Real-time Finnish traffic sign detection and classification using synthetic data, transfer learning, and advanced deep learning techniques.

Language: Jupyter Notebook - Size: 83.5 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

nishatrhythm/Android-App-of-Traffic-Signs-Classification-using-CNN 📦

A real-time Android app for traffic sign classification using a pre-trained CNN model and TensorFlow Lite for on-device inference.

Language: Java - Size: 3.67 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

AKKI0511/Traffic-Sign-Recognition

Traffic sign recognition using deep learning. Implemented and compared custom CNN and transfer learning models (ResNet50, MobileNetV2) with comprehensive evaluation metrics. Achieved 98.8% accuracy with a focus on real-world efficiency.

Language: Jupyter Notebook - Size: 171 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

sergio94al/YOLOv8_Retraining

Retraining YOLOv8 for custom datasets. These codes have served as the basis for the deep learning practice of the CSIC 2024 artificial intelligence summer school.

Language: Jupyter Notebook - Size: 63.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

DuyTran04/N9_NhanDangBienBaoGiaoThong

Language: Python - Size: 79.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

musty-ess/Traffic-Sign-Recognition-with-TensorFlow-AI

This project implements a neural network using TensorFlow to classify images of traffic signs from the German Traffic Sign Recognition Benchmark (GTSRB) dataset. The model accurately identifies different types of traffic signs, such as stop signs, speed limit signs, and yield signs, among others.

Language: Python - Size: 6.84 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

PraveenKumar-Rajendran/Udacity-Self-Driving-Car-Engineer-Nanodegree

Projects Implemented for the Udacity Self Driving Car Engineer Nanodegree Program

Size: 16.1 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

nimisha-singh20/Traffic-Sign-Detection-using-YOLO

Traffic sign detection and recognition using YOLO 93.2% Accuracy

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AUK608/Traffic_Sign_Detection_DeepLearning

This repository is for German Traffic Sign Detection using Ultralytics YOLOv8

Language: Jupyter Notebook - Size: 56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ansarTheScientist/Traffic-Sign-Detector

This code implements a CNN using TensorFlow for German traffic sign classification with the GTSRB dataset. It preprocesses data, builds the model, trains it, evaluates accuracy, and generates a confusion matrix for performance analysis.

Language: Jupyter Notebook - Size: 564 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

um-dsp/NIST-AI-RMF-Traffic-Sign-Recognition-Profile

Autonomous Vehicle Risk Management Profile for Traffic Sign Recognition based on NIST AI RMF.

Size: 5.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kiarashrahmani/Traffic-sign-detection-using-yolo

Our project focuses on developing a traffic sign detection model using the YOLO framework.

Language: Jupyter Notebook - Size: 451 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

quzanh1130/TrafficSignDetection

Using lenet for Traffic Sign Recognition

Language: Jupyter Notebook - Size: 5.19 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shejz/road-sign-classifier

This project is a multi-class, single-image classification to recognize traffic signs images using Convolutional Neural Networks (CNN).

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Dunno-Ikigai/Traffic-sign-recognition

PBL project for SE

Language: Python - Size: 9.66 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

HenriqueOliveira18/Traffic-Sign-Recognition

Traffic Sign Recognition Project for my Internship on Prime Layer

Language: Jupyter Notebook - Size: 72.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

thevickypedia/CSC790_DeepLearning

Convolutional Neural Network using Jupyter Notebooks

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

FPavlinic/Master-Thesis

My master thesis on Traffic Sign Recognition Using Computer Vision

Language: Jupyter Notebook - Size: 245 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

hassanteymoori/traffic-sign-recognition-and-distance-estimation

The goal is to find an efficient approach using a monocular camera to perform real-time traffic signs recognition and distance estimation between traffic sign and viewpoint. The next thing we want to apply, after having the distance, would be a simple feedback system for the driver as a guideline. One thing to consider is that we do not want to distract the driver by giving too much feedback, therefore, we will take the most important traffic signs which are a kind of safety feedback or an alert for the driver such as getting closer to the pedestrian path.

Language: Jupyter Notebook - Size: 44.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0