Random Erase
Learn to perform data augmentation with the Random Erase method.
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Random Erase is a special image augmentation technique that works by: Selecting a region from an image randomly. Removing the pixels from the region. Filling the region with random pixels. It generates training images with various levels of occlusion. As a result, it makes our image classification models robust to occlusions, which improves performance and reduces overfitting.