Random Erase
Explore the Random Erase augmentation technique used to improve image classification models by randomly removing and replacing image regions. Understand its implementation in PyTorch's RandomErasing class and how adjusting parameters can enhance model performance and reduce overfitting.
We'll cover the following...
We'll cover the following...
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.