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Classification of Vehicle Images through Deep Neural Networks for Camera View Position Selection

This paper shows the experimentation for the classification of vehicle images by artificial vision creating a deep neural network model using Keras and Tensorflow libraries with Python language, a machine learning algorithm. The results are used to select the best camera position to record the vehicular traffic to identify the highway occupancy.