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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.

License: MIT License

Jupyter Notebook 99.48% Python 0.52%
deep-learning convolutional-neural-networks machine-learning traffic-sign-classification computer-vision image-processing image-manipulation keras keras-neural-networks synthetic-data

traffic-sign-recognition-basd-on-synthesised-training-data's Introduction

Hi there Wave Emoji

I am an Assistant Professor at University of Twente's Data Management & Biometrics (DMB) group. Previously, I was a Postdoc at VUB and a Research Associate at the University of Bristol working with Dima Damen on video understanding. I obtained my PhD from Utrecht University where I was lucky to be supervised by Ronald Poppe and Remco C. Veltkamp. My thesis was on human action and interaction recognition in everyday social settings. During my time in Utrecht, I additionally worked on improving the efficiency and interpretability of spatiotemporal deep learning video classification models.

Alex Stergiou | webpage Alex Stergiou | google scholar Alex Stergiou | UT webpage Alex Stergiou | Twitter X Alex Stergiou | Linkedin

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