Rozpoznání dopravního značení z obrazů

Abstract

The aim of this thesis was to study the possibilities of detection and classification of objects using machine learning and implementation of detector for traffic signs in images. Based of framework selection, the implementation was written in Tensorflow framework, using Object detection API. Then a dataset for training and testing of the neural network was created. Finally, the results of different models for object recognition were compared and evaluated.