{"url":"/dataset/icons-50","name":"Icons-50","full_name":null,"description_markdown":"Icons-50 is a dataset for studying surface variation robustness.\r\n\r\nSource: [Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations](/paper/benchmarking-neural-network-robustness-to)","description_withheld":null,"homepage":"https://github.com/hendrycks/robustness","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/benchmarking-neural-network-robustness-to","title":"Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations","first_author":"Dan Hendrycks","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Out-of-Distribution Detection","url":"/task/out-of-distribution-detection","datasets_with_task":"/datasets/task/out-of-distribution-detection"},{"name":"Adversarial Defense","url":"/task/adversarial-defense","datasets_with_task":"/datasets/task/adversarial-defense"}],"languages":[],"variants":["Icons-50"],"data_loaders":[{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/cifar10_corrupted","frameworks":["tf","jax"]},{"repo":"https://github.com/hendrycks/robustness","url":"https://github.com/hendrycks/robustness","frameworks":["pytorch"]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}