Albumentations: fast and flexible image augmentations

18 Sep 2018Alexander BuslaevAlex ParinovEugene KhvedchenyaVladimir I. IglovikovAlexandr A. Kalinin

Data augmentation is a commonly used technique for increasing both the size and the diversity of labeled training sets by leveraging input transformations that preserve output labels. In computer vision domain, image augmentations have become a common implicit regularization technique to combat overfitting in deep convolutional neural networks and are ubiquitously used to improve performance... (read more)

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