This dataset provides an augmented version of a subset of ImageNet, used to benchmark how classical and synthetic augmentations impact large-scale image classification models.
All training data is organized by augmentation method, and the test/ set remains clean and unmodified. The dataset is compressed in .zip format and must be unzipped before use.
