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tf-sprinkles is a fast and efficient utility for performing sprinkles augmentation of images for classification tasks. The technique helps classifiers avoid depending too heavily on a few high-entropy features or locations in input images by randomly blocking sections of each image with each training batch. Number, size, and fill-type of "sprinkles" are configurable and can be updated during training.
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