Random Resized Crop and Interpolation
Explore how RandomResizedCropAndInterpolation works as a data augmentation technique in PyTorch. Learn to apply random cropping, resizing, and interpolation to enhance model performance by diversifying input images during training.
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By default, the PyTorch Image Model framework will apply the RandomResizedCropAndInterpolation data augmentation during training.
As the name implies, it will randomly crop or resize the input image. It also changes the aspect ratio of the image randomly.
The RandomResizedCropAndInterpolation data augmentation works very well with most datasets. It helps ...