{"url":"/dataset/wikiart","name":"WikiArt","full_name":null,"description_markdown":"**WikiArt** contains painting from 195 different artists. The dataset has 42129 images for training and 10628 images for testing.\r\n\r\nSource: [Adding New Tasks to a Single Network with Weight Transformations using Binary Masks](https://arxiv.org/abs/1805.11119)\r\nImage Source: [https://towardsdatascience.com/the-non-treachery-of-dataset-df1f6cbe577e](https://towardsdatascience.com/the-non-treachery-of-dataset-df1f6cbe577e)","description_withheld":null,"homepage":"https://github.com/cs-chan/ArtGAN/blob/master/WikiArt%20Dataset/README.md","introduced_date":"2015-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/large-scale-classification-of-fine-art","title":"Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature","first_author":"Babak Saleh","url":null},"license":{"name":"Custom (non-commercial)","url":"https://github.com/cs-chan/ArtGAN/blob/master/WikiArt%20Dataset/README.md"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Continual Learning","url":"/task/continual-learning","datasets_with_task":"/datasets/task/continual-learning"},{"name":"Style Transfer","url":"/task/style-transfer","datasets_with_task":"/datasets/task/style-transfer"}],"languages":[],"variants":["Wikiart (Fine-grained 6 Tasks)","WikiArt"],"data_loaders":[{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/wiki-art-dataset","frameworks":["tf","pytorch"]},{"repo":"https://github.com/cs-chan/ArtGAN","url":"https://github.com/cs-chan/ArtGAN","frameworks":["tf"]}],"num_papers_in_archive":96,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/continual-learning-on-wikiart-fine-grained-6","task":"Continual Learning","dataset_variant":"Wikiart (Fine-grained 6 Tasks)","rows":6,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"CondConvContinual","paper":"/paper/extending-conditional-convolution-structures","metrics":{"Accuracy":"78.32"},"code_links":[{"title":"ivclab/CondConvContinual","url":"https://github.com/ivclab/CondConvContinual"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/style-transfer-on-wikiart","task":"Style Transfer","dataset_variant":"WikiArt","rows":2,"metrics":["SSIM","ArtFID"],"first_row_in_archive_order":{"model":"StyleFlow-Content-Fixed-I2I","paper":"/paper/styleflow-for-content-fixed-image-to-image","metrics":{"SSIM":"0.45"},"code_links":[{"title":"weepiess/StyleFlow-Content-Fixed-I2I","url":"https://github.com/weepiess/StyleFlow-Content-Fixed-I2I"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mamba-st-state-space-model-for-efficient","title":"Mamba-ST: State Space Model for Efficient Style Transfer","date":"2024-09-16","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":7,"samples_unverified":2,"pointer_only_for_licence":9,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/helpful-or-harmful-inter-task-association-in","title":"Helpful or Harmful: Inter-Task Association in Continual Learning","date":"2022-10-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/styleflow-for-content-fixed-image-to-image","title":"StyleFlow For Content-Fixed Image to Image Translation","date":"2022-07-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/extending-conditional-convolution-structures","title":"EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING","date":"2020-12-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/compacting-picking-and-growing-for","title":"Compacting, Picking and Growing for Unforgetting Continual Learning","date":"2019-10-15","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":2,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/piggyback-adapting-a-single-network-to","title":"Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights","date":"2018-01-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/packnet-adding-multiple-tasks-to-a-single","title":"PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning","date":"2017-11-15","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/progressive-neural-networks","title":"Progressive Neural Networks","date":"2016-06-15","rows_on_this_dataset":1,"code_links":12,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":0,"samples_unverified":3,"pointer_only_for_licence":3,"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":4,"samples_harvested":17,"samples_ran":10,"samples_unverified":7,"pointer_only_for_licence":13,"papers_with_no_sample_that_ran":1,"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."}