Tiny ImageNet-A

Tiny ImageNet-A is a subset of the Tiny ImageNet test set consisting of 3,374 images comprising real-world, unmodified, and naturally occurring examples that are misclassified by ResNet-18. The sampling process of Tiny ImageNet-A roughly follows the concept of ImageNet-A introduced by Hendrycks et al. ("Natural Adversarial Examples"). For further information on the sampling process visit the original paper.