Topic: traffic-sign-recognition Goto Github

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aarcosg / tsr-torch
traffic-sign-recognition,Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".
User: aarcosg
Home Page: https://doi.org/10.1016/j.neunet.2018.01.005
gtsrb gtsrb-dataset traffic-sign-classification traffic-sign-recognition torch7 deep-learning deep-neural-networks spatial-transformer-network convolutional-neural-networks convolutional-layers

alen-smajic / towards-explainable-ai-system-for-traffic-sign-recognition-and-deployment-in-a-simulated-environment
traffic-sign-recognition,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.
User: alen-smajic
computer-science computer-vision pytorch python machine-learning jupyter-notebook deep-learning unity blender csharp simulation university object-detection classification opencv autonomous-driving traffic-sign-recognition traffic-sign-classification concept-whitening viola-jones

arjun-narula / traffic-light-controller-using-verilog
traffic-sign-recognition,the project includes system design of a t intersection traffic light controller and its verilog code in vivado design suite.
User: arjun-narula
verilog verilog-hdl verilog-project verilog-code verilog-programs verilog-simulator vivado vivado-hls vivado-simulator traffic

aryansharma5 / trafficsignrecognition
traffic-sign-recognition,Traffic sign recognition
User: aryansharma5
Home Page: https://traffic-sign-recognition-aryan.herokuapp.com/
flask machine-learning html css bootstrap4 cnn-keras traffic-sign-recognition

ayushexploring / lane-detection-traffic-sign-recognition
traffic-sign-recognition,Lane Detection using OpenCV, Traffic Sign Recognition and Deep Learning Concepts
User: ayushexploring
lane-detection traffic-sign-classification traffic-sign-recognition mnist logistic-regression perceptron convolutional-neural-networks deep-neural-networks

cecchilinux / machine_learning
traffic-sign-recognition,We build a traffic sign classifier with multi-scale Convolutional Networks using Keras
User: cecchilinux
machine-learning gtsrb-dataset traffic-sign-classification traffic-sign-recognition

chiragsamal / traffic-sign-recognition
traffic-sign-recognition,Traffic Signs Detection and Recognition with Keras
User: chiragsamal
traffic-sign-recognition python tensorflow tutorial

codehack9991 / speed-limit-sign-recognition
traffic-sign-recognition,Real time speed sign limit recognition system
User: codehack9991
traffic-sign-recognition computer-vision machine-learning cascade-classifier c-plus-plus image-processing scripting embedded-systems real-time

dineshresearch / novel-deep-learning-model-for-traffic-sign-detection-using-capsule-networks
traffic-sign-recognition,capsule networks that achieves outstanding performance on the German traffic sign dataset
User: dineshresearch
capsule-network traffic-sign-classification traffic-sign-recognition traffic-sign-detection deeplearning computervision autonomous-vehicles autonomous-driving

durgesh716 / traffic-sign-detection-for-self-driving-cars
traffic-sign-recognition,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
User: durgesh716
deep-learning self-driving-car traffic-sign-recognition

duyndh98 / digitalrace_2017-2018_universityround
traffic-sign-recognition,Cuộc đua số (2017 -2018) University Round - Detect and Recognize Traffic Signs using OpenCV and Machine Learning
User: duyndh98
traffic-sign-detection traffic-sign-recognition computer-vision support-vector-machine opencv python image-processing

ejimenezb / intelligent-traffic-light-control-system.
traffic-sign-recognition,Proyecto de control de trafico e intercepción de semáforos inteligentes.
User: ejimenezb
python c pygame-library pyserial numpy matplotlib time object-oriented-programming time-real control-systems interface interactive vehicle-detection vehicle-counting vehicle-detection-and-tracking transit traffic-monitoring traffic-light traffic-control traffic-sign-recognition

eugeneyan84 / classification-and-detection-of-singapore-road-traffic-signs
traffic-sign-recognition,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.
User: eugeneyan84
tensorflow2 object-detection traffic-sign-recognition singapore

fredotran / traffic-sign-detector-yolov4
traffic-sign-recognition,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.
User: fredotran
yolov4 opencv-dnn computer-vision python3 darknet object-detection traffic-sign-recognition deep-learning

gpriya32 / traffic-app
traffic-sign-recognition,Traffic Sign Detection CNN app
User: gpriya32
convolutional-neural-networks image-processing data-augumentation traffic-sign-classification traffic-sign-recognition

guoxxiong / traffic_sign_detect
traffic-sign-recognition,Modified yolov3 is employed to detect traffic signs.
User: guoxxiong
traffic-sign-classification traffic-sign-detection traffic-sign-recognition yolov3

hassanteymoori / traffic-sign-recognition-and-distance-estimation
traffic-sign-recognition,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.
User: hassanteymoori
computer-vision traffic-sign-recognition distance-estima

hiit-tabata / german-traffic-sign-classification
traffic-sign-recognition,
User: hiit-tabata
alexnet keras python tensorflow traffic-sign-recognition

hoanglehaithanh / traffic-sign-detection
traffic-sign-recognition,Traffic signs detection and classification in real time
User: hoanglehaithanh
Home Page: https://www.hoanglehaithanh.com/project
python opencv traffic-signs traffic-sign-classification traffic-sign-recognition machine-learning image-processing

hparik11 / german-traffic-sign-recognition
traffic-sign-recognition,Deep neural networks and convolutional neural networks to classify German traffic signs.
User: hparik11
convolutional-neural-networks lenet-architecture traffic-sign-recognition self-driving-car autonomous-vehicles

ituracingdriverless / ttvs
traffic-sign-recognition,Türkiye Trafik İşaretleri Veriseti - Turkish Traffic Sign Dataset
Organization: ituracingdriverless
dataset traffic-signs traffic-sign-classification traffic-sign-recognition deep-learning

jacobssy / traffic_sign_detection
traffic-sign-recognition,
User: jacobssy
keras-yolo traffic-sign-classification traffic-sign-recognition deep-learning yolo yolov2 yolov3 mobilenet shufflenet squeezenet

jordankzf / hough-circle-traffic-light
traffic-sign-recognition,Detect and recognise traffic lights using Hough circle transform implemented with OpenCV and Python
User: jordankzf
opencv python traffic-light computer-vision hough-circles hough-circle-detector traffic-signs traffic-sign-recognition autonomous-vehicles autonomous-driving

juhilsomaiya / traffic_sign_recognition_machinelearing
traffic-sign-recognition,This repository contains Traffic Sign Recognition using tenserflow.
User: juhilsomaiya
machine-learning deep-learning tenserflow neural-network python3 traffic-sign-recognition

junshengfu / traffic-sign-recognition
traffic-sign-recognition,Built and trained a deep neural network to classify traffic signs, using TensorFlow.
User: junshengfu
traffic-sign-recognition

junthbasnet / traffic-sign-classification-using-convnets
traffic-sign-recognition,🚸⛔Novel Deep Convolutional Network is proposed for traffic sign classification that achieves outstanding performance on GTSRB surpassing the best human performance of 98.84%.
User: junthbasnet
traffic-sign-classification advanced-driver-assistance-systems gtsrb-dataset convolutional-neural-networks deep-neural-networks machine-learning traffic-sign-recognition

kunkun-jia / tsr-sa
traffic-sign-recognition,Repository for TSR-SA
User: kunkun-jia
object-detection traffic-sign-recognition tt100k

laerre9 / zynq_ultrascale_vitis_ai_cnn_zcu102
traffic-sign-recognition,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.
User: laerre9
ai-embedded-systems dpu mpsoc petalinux traffic-sign-recognition vitis-ai vivado zcu102 zynq-ultrascale deep-learning-processor-unit

mdhamani / traffic-sign-recognition-using-yolo
traffic-sign-recognition,Identifying traffic signs in real time using YOLO for autonomous self driving car
User: mdhamani
deep-learning recognition yolov5 traffic-sign-recognition

moabitcoin / signfeld
traffic-sign-recognition,Synthetic traffic sign detectron
Organization: moabitcoin
computer-vision deep-learning detection detectron2 machine-learning pytorch pytorch-implmention traffic-sign-classification traffic-sign-detection traffic-sign-recognition traffic-signs

mohammadgorji / ptsr
traffic-sign-recognition,Transfer Learning Approach for Recognition of Iranian Traffic Signs in Self-Driving Cars
User: mohammadgorji
Home Page: https://www.sid.ir/fa/seminar/ViewPaper.aspx?ID=97797
convolutional-neural-networks deep-learning machine-learning traffic-sign-recognition transfer-learning

mohammadmozafari / digital-image-processing
traffic-sign-recognition,Exploring some techniques for processing images.
User: mohammadmozafari
dft edge-detection enhancement hough-transform hybrid-images hyperspectral-images morphological-image-processing pca restoration sampling template-matching traffic-sign-recognition

nihalmishra / traffic-sign-recognition-dl
traffic-sign-recognition,Constructing a Traffic Sign Recognition model using deep learning and computer vision.
User: nihalmishra
deep-learning computer-vision tensorflow2 keras convolutional-neural-networks cnn-keras traffic-sign-recognition

oscardelgado02 / signal-detection-and-classification-dl-model
traffic-sign-recognition,Deep Learning project that uses yolov5 to detect and classify traffic signals in videos.
User: oscardelgado02
deep-learning deep-neural-networks object-detection object-recognition traffic traffic-sign-classification traffic-sign-detection traffic-sign-recognition traffic-signs yolo

pierluigiferrari / traffic_sign_classifier
traffic-sign-recognition,A traffic sign classifier built with TensorFlow
User: pierluigiferrari
recognize-traffic-signs tensorflow traffic-sign-classification traffic-sign-classifier traffic-sign-recognition

prasunkar / cs50ai
traffic-sign-recognition,My work on CS50's Introduction to Artificial Intelligence with Python.
User: prasunkar
python artificial-intelligence neural-networks tensorflow harvardcs50 training-data searching-algorithms natural-language-processing traffic-sign-recognition cs50ai

praveenterax / traffic-sign-detection-recognition-matlab-randomforest
traffic-sign-recognition,Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)
User: praveenterax
machine-learning matlab traffic-sign-classification traffic-sign-recognition traffic-sign-detection random-forest-classifier histogram-of-oriented-gradients gtsdb gtsrb-dataset gtsdb-dataset

quangkhoi1228 / traffic_sign_recognize
traffic-sign-recognition,Recognize signs from environmental images using deep learning
User: quangkhoi1228
traffic-sign-classification traffic-sign-recognition deep-learning

rahulsonone1234 / traffic-sign-recognition
traffic-sign-recognition,To ease the driver to identify the Traffic Signs and also for the efficient working of Self-Driving Cars.
User: rahulsonone1234
caption-generation cnn cnn-keras convolutional-neural-networks deep-neural-networks numpy pandas python self-driving-cars tensor tensorflow tkinter tkinter-graphic-interface tkinter-gui tkinter-python traffic-sign-classification traffic-sign-recognition

sarveshj / traffic_sign_recognition
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.
User: sarveshj
traffic-sign-recognition support-vector-machine svm hog-features classify-images maximally-stable-extremal-regions kitti-dataset matlab autonomous-driving

sathviktn / traffic-sign-recognition
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 .
User: sathviktn
machine-learning traffic-sign-recognition deep-learning cnn

schroederbianca / project_1_deep_learning
traffic-sign-recognition,This project accompanies the lecture deep learning and handles the GTSRB dataset. Neural networks are fooled by the help of popular adversarial attacks.
User: schroederbianca
gtsrb-dataset multi-class-classification-problem attack-defense few-pixel-attack traffic-sign-recognition adversarial-attacks convolutional-neural-networks deep-learning machine-learning

sichkar-valentyn / traffic-signs-classification-with-cnn
traffic-sign-recognition,Effective Traffic Signs Classification by CNN
User: sichkar-valentyn
Home Page: https://valentynsichkar.name/traffic_signs.html
cnn-keras cnn-classification traffic-sign-classification traffic-sign-recognition deep-learning

srujanpanuganti / traffic-sign-recognition
traffic-sign-recognition,implementation of Traffic Sign Recognition on a driving dataset using Python3
User: srujanpanuganti
python3 traffic-sign-classification traffic-sign-recognition

tayyabasghar / erkenner
traffic-sign-recognition,Erkenner is a Traffic Sign Detection and Recognition Mobile App.
User: tayyabasghar
traffic-sign-recognition

ttungl / sdc-term1-traffic-sign-classifier
traffic-sign-recognition,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.
User: ttungl
traffic-sign-recognition classify-traffic-signs neural-network

vamsiramakrishnan / trafficsignrecognition
traffic-sign-recognition,A Deep Neural Network to do traffic sign recognition
User: vamsiramakrishnan
traffic-sign-recognition deep-learning traffic-sign-classification

vicondrus / roadster
traffic-sign-recognition,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.
User: vicondrus
traffic-sign-detection traffic-sign-recognition traffic-sign-classification python tensorflow pyimagesearch image-processing machine-learning gtsrb-dataset

wolfgang-stefani / traffic-sign-classifier
traffic-sign-recognition,This program uses a deep neural network with several convolutional layers to classify traffic signs. The model is able to recognize traffic signs with an accuracy of 96,2%. It was trained and validated using the German Traffic Sign Dataset with 43 classes (types of traffic signs) and more than 50,000 images in total.
User: wolfgang-stefani
convolutional-neural-networks tensorflow deep-neural-networks deep-learning autonomous-driving traffic-sign-classification data-augmentation neural-networks image-processing computer-vision

yaelbenshalom / objects-recognition-and-classification
traffic-sign-recognition,Objects recognition and classification using machine learning, computer vision and real-time object detection algorithm
User: yaelbenshalom
Home Page: https://yaelbenshalom.github.io/ML_object_detection/index.html
pytorch machine-learning traffic-sign-recognition neural-network trash-recognition computer-vision opencv deep-learning yolo detection classification recognition image-classification convolutional-neural-networks object-detection cnn