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28 search results found

Traffic Sign Detection ⭐ 236

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Sign Language Alphabet Recognizer ⭐ 124

Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).

Sign Language Interpreter Using Deep Learning ⭐ 104

A sign language interpreter using live video feed from the camera.

Sign2text ⭐ 92

Real-time AI-powered translation of American sign language to text

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Sign Language Recognition using WiFi and Convolutional Neural Networks

Sign Language ⭐ 45

Sign Language Recognition for Deaf People

Tsr Py Faster Rcnn ⭐ 43

This repo contains code related to german traffic sign detection and classification using Faster-RCNN

Simple Sign Language Detector ⭐ 34

Simple Sign Language Detector

Sign Language Recognition Using Hand Gestures Keras Pyqt5 Opencv ⭐ 31

Academic course work project serving the sign language translator with custom made capability

Traffic_sign_classify ⭐ 23

CNN卷积神经网络交通标志识别

Multiscale Cnn Classifier ⭐ 19

Reproduce GTSRB results of classic deep learning papers.

Dmsmsgrcg ⭐ 18

A photo OCR project aims to output DMS messages contained in sign structure images.

Advml Traffic Sign ⭐ 15

Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper

Traffic_sign_classifier With Streamlit ⭐ 14

Built a image classification model that classifies images into one of the 43 classes from the German Traffic sign dataset.

Traffic Sign Classifier ⭐ 14

Classify traffic signs using deep neural networks

Carnd Traffic Sign Classifier P2 ⭐ 13

Traffic Sign Classification using Convolutional Neural Networks

Neural_networks_for_computer_vision ⭐ 13

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Deeptrafficsign ⭐ 13

Traffic sign recognition with Deep Convolutional Neural Networks

Traffic Signs Classification ⭐ 12

A deep neural network to classify traffic signs, using TensorFlow.

Traffic Sign Recognition Basd On Synthesised Training Data ⭐ 12

Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.

Traffic Sign Cnn ⭐ 12

Deep learning network for traffic sign image classification

Traffic Signs Recognition ⭐ 12

Traffic Signs Detection and Recognition using Multi-Scale CNN (https://arxiv.org/pdf/1202.2745)

Traffic Sign Classifier ⭐ 11

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Sign Language Character Recognition ⭐ 10

American Sign Language Character Recognition

Tsr Torch ⭐ 10

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

Cuda Cnn Traffic Sign Recognition ⭐ 10

CNN using C++ and CUDA

Slrpapers ⭐ 9

papers on sign language recognition and related fields

American Sign Language to English real time Conversion App

Sign Language Translator ⭐ 9

An AI model that converts sign languages to speech using your webcam/cameras. OpenCV+PyTorch

Traffic Sign Classifier ⭐ 8

In this project, deep neural networks and convolutional neural networks are used to classify traffic signs. A model is trained so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model is trained, the model is tested on new images of traffic signs that are found on the web

Traffic Sign Recognition ⭐ 8

Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.

Sign Language Recognition Using Scikit Learn And Cnn ⭐ 7

The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).

Hand_recognition_cnn ⭐ 7

Hand-signs image recognition. 4 layers convolutional neural network using TensorFlow that recognize numbers from 0 to 5 in sign language

Real Time Traffic Sign Recognition ⭐ 7

Real time traffic sign classification using deep learning

Traffic Sign Recognition Using Deep Neural Network ⭐ 7

Implementation CNN using Keras to recognize GTSRB traffic signs

Traffic_sign_classifier ⭐ 6

A traffic sign classifier using LeNet for Self driving cars

Pytorch Deep Learning ⭐ 6

GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point

Real Time American Sign Language Estimation System built using fastai and OpenCV. Trained on ResNet-34 CNN.

Carnd Trafficsignclassifier P2 ⭐ 6

Udacity Self Driving Car Nanodegree - Traffic Sign Classifier

Traffic Sign Recognition ⭐ 5

traffic sign recognition(detection and recognition) tesnorflow and caffe

Indian Sign Language ⭐ 5

Deepsign2text ⭐ 5

Final Project for Data Mining Course: Translating American Sign Language into Text

Sign Language Recognition ⭐ 5

Trained a CNN to understand American Sign Language and convert gestures into text

Tensorflow Signs Cnn ⭐ 5

An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using convolution neural networks

Chiromancer ⭐ 5

Open Source Sign Language Recognition Platform

Traffic Sign Detection ⭐ 5

Traffic sign detection and classification

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