{"url":"/dataset/kth-tips2","name":"KTH-TIPS2","full_name":null,"description_markdown":"The KTH-TIPS (Textures under varying Illumination, Pose and Scale) image database was created to extend the CUReT database in two directions, by providing variations in scale as well as pose and illumination, and by imaging other samples of a subset of its materials in different settings.\r\n\r\nThe KTH-TIPS2 databases took this a step further by imaging 4 different samples of 11 materials, each under varying pose, illumination and scale.\r\n\r\nFor more information about the databases, please view the documentation. The databases may be downloaded here.","description_withheld":null,"homepage":"https://www.csc.kth.se/cvap/databases/kth-tips/credits.html","introduced_date":"2006-06-09","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[],"variants":["KTH-TIPS2"],"data_loaders":[{"repo":"https://github.com/scabini/RADAM","url":"https://github.com/scabini/RADAM","frameworks":["pytorch"]}],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-kth-tips2","task":"Image Classification","dataset_variant":"KTH-TIPS2","rows":1,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"RADAM (ConvNeXt-XL)","paper":"/paper/radam-texture-recognition-through-randomized-1","metrics":{"Accuracy (%)":"94.4"},"code_links":[{"title":"scabini/RADAM","url":"https://github.com/scabini/RADAM"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/radam-texture-recognition-through-randomized-1","title":"RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps","date":"2023-03-08","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}