Traffic Sign Classification with a Convolutional Network
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I approach the traffic signs classification problem with a convolutional neural network implemented in TensorFlow reaching 99.33% accuracy. The highlights of this solution would be data pre-processing, data augmentation pipeline, pre-training and skipping connections in the network. I am using Python as programming language and TensorFlow as a fairly low-level machine learning framework.
Keywordsmachine learning classification convolutional network multi-scale features GTSDB traffic signs TensorFlow
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