Road condition classification from CCTV images using machine learning
The aim of this master thesis is to develop a machine learning model for classifying the road condition (dry, snow, wet, ice, etc) seen on CCTV images mounted along roads. This classification can later be used in our products that help to create safer traffic and protect the environment. We have a vast amount of training and ground truth data already available.
In this work you will learn about the state of the art image classification methods, big data, data science and Amazon Cloud Services (AWS).
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