{"url":"/dataset/sketch","name":"Sketch","full_name":null,"description_markdown":"The **Sketch** dataset contains over 20,000 sketches evenly distributed over 250 object categories.\r\n\r\nSource: [http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/](http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/)\r\nImage Source: [http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/](http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/)","description_withheld":null,"homepage":"http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"How do humans sketch objects?","first_author":null,"url":"https://doi.org/10.1145/2185520.2185540"},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Continual Learning","url":"/task/continual-learning","datasets_with_task":"/datasets/task/continual-learning"}],"languages":[],"variants":["Sketch (Fine-grained 6 Tasks)","Sketch"],"data_loaders":[],"num_papers_in_archive":237,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/continual-learning-on-sketch-fine-grained-6","task":"Continual Learning","dataset_variant":"Sketch (Fine-grained 6 Tasks)","rows":6,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"CondConvContinual","paper":"/paper/extending-conditional-convolution-structures","metrics":{"Accuracy":"80.77"},"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"}],"papers_with_a_benchmark_row":[{"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/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":"2026-09-25T09:33:49+00:00","samples_harvested":4,"samples_ran":3,"samples_unverified":1,"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":"2026-09-25T09:33:49+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":"2026-09-25T09:33:49+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":"2026-09-25T09:33:49+00:00","papers_with_samples":3,"samples_harvested":8,"samples_ran":4,"samples_unverified":4,"pointer_only_for_licence":4,"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."}