Shortcuts

Source code for torch_uncertainty.datasets.classification.imagenet.imagenet_c

from .base import ImageNetVariation


[docs]class ImageNetC(ImageNetVariation): """The corrupted ImageNet-C dataset. References: Benchmarking neural network robustness to common corruptions and perturbations. Dan Hendrycks and Thomas Dietterich. In ICLR, 2019. """ url = [ "https://zenodo.org/record/2235448/files/blur.tar", "https://zenodo.org/record/2235448/files/digital.tar", "https://zenodo.org/record/2235448/files/extra.tar", "https://zenodo.org/record/2235448/files/noise.tar", "https://zenodo.org/record/2235448/files/weather.tar", ] filename = [ "blur.tar", "digital.tar", "extra.tar", "noise.tar", "weather.tar", ] tgz_md5 = [ "2d8e81fdd8e07fef67b9334fa635e45c", "89157860d7b10d5797849337ca2e5c03", "d492dfba5fc162d8ec2c3cd8ee672984", "e80562d7f6c3f8834afb1ecf27252745", "33ffea4db4d93fe4a428c40a6ce0c25d", ] dataset_name = "imagenet-c" root_appendix = "imagenet-c"