Topic: "gtsdb-dataset"
aarcosg/traffic-sign-detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Language: Jupyter Notebook - Size: 7.08 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 290 - Forks: 91
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
iamzehan/Traffic-Sign-Feature-Descriptor
A Bangladeshi Road Sign Detection & Recognition System Based on Template matching & Convolutional Neural Network - A Prototype built from my Thesis paper.
Language: Python - Size: 21.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
angeligareta/deep-learning-basics-tf
Deep Learning basics with Tensorflow and Keras. It includes implementing deep neural networks, feed-forward neural networks, convolutional neural networks, and a traffic sign detection system, using GTSDB and CIFAR dataset.
Language: Jupyter Notebook - Size: 9.53 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 4
