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9 search results found

Ssd_tensorflow_traffic_sign_detection ⭐ 475

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

Transito Cv ⭐ 82

Traffic sign detector and classifier that uses dlib and its implementation of the Felzenszwalb's version of the Histogram of Oriented Gradients (HoG) detector

Traffic_sign_classification_german ⭐ 29

Traffic sign classification for the German Traffic Sign Dataset

Gtsrb Caffe Model ⭐ 17

German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/

Traffic_signs_recognition_cnn ⭐ 16

Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)

Synthetic traffic sign detectron

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

Half Circle Detection ⭐ 6

Image Processing based Half Circle Shape Detector (traffic signs included)

Carnd Trafficsignclassifier P2 ⭐ 6

Udacity Self Driving Car Nanodegree - Traffic Sign Classifier

Gtsrb Smai ⭐ 6

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge. Humans are capable of recognizing the large variety of existing road signs with close to 100% correctness.Then what about machines, Can we make them intelligent like humans ?

German Traffic Sign Classifier ⭐ 5

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