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Educational library for machine learning challenges
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/**
* This package contains classes that perform various image augmentation effects. Image augmentation
* is a technique used to increase the diversity of your training set by applying random
* transformations such as cropping, padding, and horizontal flipping, among others. These
* transformations are a form of regularization that helps prevent overfitting and allows your model
* to generalize better.
*
* The 'effects' subpackage specifically includes classes that implement different kinds of
* transformations, like resizing, adjusting perspective, and applying elastic distortions to
* images. Each class extends the 'AbstractAugmentation' class and overrides its 'apply' method to
* provide the specific functionality.
*/
package de.edux.augmentation.effects;