{"url":"/dataset/iwildcam2020-wilds","name":"iWildCam2020-WILDS","full_name":null,"description_markdown":"The iWildCam2020-WILDS dataset is a variant of the iWildCam 2020 dataset. iWildCam2020-WILDS is a benchmark dataset designed\r\nto test OOD generalization for the task of species classification. The label space consists of 182 species. Each domain corresponds to a different location of the camera trap. The training and test images belong to disjoint sets of locations in the OOD setting.","description_withheld":null,"homepage":"https://wilds.stanford.edu/datasets/#iwildcam","introduced_date":"2021-07-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/wilds-a-benchmark-of-in-the-wild-distribution","title":"WILDS: A Benchmark of in-the-Wild Distribution Shifts","first_author":"Pang Wei Koh","url":null},"license":{"name":"MIT License","url":"https://github.com/p-lambda/wilds/?tab=MIT-1-ov-file"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["iWildCam2020-WILDS"],"data_loaders":[],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-iwildcam2020-wilds","task":"Image Classification","dataset_variant":"iWildCam2020-WILDS","rows":6,"metrics":["Accuracy (Top-1)"],"first_row_in_archive_order":{"model":"COSMO","paper":"/paper/bringing-back-the-context-camera-trap-species","metrics":{"Accuracy (Top-1)":"74.5"},"code_links":[{"title":"osu-nlp-group/cosmo","url":"https://github.com/osu-nlp-group/cosmo"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/bringing-back-the-context-camera-trap-species","title":"Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs","date":"2023-12-31","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/gradient-matching-for-domain-generalization","title":"Gradient Matching for Domain Generalization","date":"2021-04-20","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":2,"samples_unverified":3,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/wilds-a-benchmark-of-in-the-wild-distribution","title":"WILDS: A Benchmark of in-the-Wild Distribution Shifts","date":"2020-12-14","rows_on_this_dataset":1,"code_links":6,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/attentional-biased-stochastic-gradient-for","title":"Attentional-Biased Stochastic Gradient Descent","date":"2020-12-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/does-distributionally-robust-supervised","title":"Does Distributionally Robust Supervised Learning Give Robust Classifiers?","date":"2016-11-07","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deep-coral-correlation-alignment-for-deep","title":"Deep CORAL: Correlation Alignment for Deep Domain Adaptation","date":"2016-07-06","rows_on_this_dataset":1,"code_links":9,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":16,"samples_ran":10,"samples_unverified":6,"pointer_only_for_licence":10,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":22,"samples_ran":13,"samples_unverified":9,"pointer_only_for_licence":15,"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."}