{"url":"/dataset/imagenet-b","name":"ImageNet-B","full_name":null,"description_markdown":"We introduce diverse and realistic backgrounds into the images or  color, texture, and adversarial changes in the background","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/1u7U6rCgL3lN4duFrhsatO7AU2MrgKhD9?usp=drive_link","introduced_date":"2024-03-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/objectcompose-evaluating-resilience-of-vision","title":"ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes","first_author":"Hashmat Shadab Malik","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["ImageNet-B"],"data_loaders":[],"num_papers_in_archive":3,"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."}