Optimal Selection of Data Augmentation Transformations

To achieve useful results in training deep neural network, one typically needs huge number of labelled images. In most practical cases, it is often time consuming, expensive and sometimes even near impossible to get the required numbers of labelled images. Data augmentation consists in a set of image processing techniques that can be applied to […]

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