{"url":"/dataset/ximagenet","name":"XImageNet","full_name":"XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation","description_markdown":"we introduce XIMAGENET-12, an explainable benchmark dataset with over 200K images and 15,600 manual semantic annotations. Covering 12 categories from ImageNet to represent objects commonly encountered in practical life and simulating six diverse scenarios, including overexposure, blurring, color changing, etc.,","description_withheld":null,"homepage":"https://sites.google.com/view/ximagenet-12/home","introduced_date":"2023-09-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/ximagenet-12-an-explainable-ai-benchmark","title":"XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation","first_author":"Qiang Li","url":null},"license":{"name":"http://creativecommons.org/licenses/by-nc-sa/4.0/","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["XImageNet"],"data_loaders":[],"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."}