{"url":"/dataset/artdl","name":"ArtDL","full_name":"ArtDL","description_markdown":"ArtDL is a novel painting data set for iconography classification composed of images collected from online sources. Most of the paintings are from the Renaissance period and depict scenes or characters of Christian art. The data set is annotated with classes representing specific characters belonging to the Iconclass classification system.","description_withheld":null,"homepage":"http://www.artdl.org","introduced_date":"2020-10-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-data-set-and-a-convolutional-model-for","title":"A Data Set and a Convolutional Model for Iconography Classification in Paintings","first_author":"Federico Milani","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ArtDL"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-artdl","task":"Image Classification","dataset_variant":"ArtDL","rows":1,"metrics":["Average Precision","F1"],"first_row_in_archive_order":{"model":"ResNet-50","paper":"/paper/a-data-set-and-a-convolutional-model-for","metrics":{"Average Precision":"72.73%","F1":"70.25%"},"code_links":[{"title":"iFede94/ArtDL","url":"https://github.com/iFede94/ArtDL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-data-set-and-a-convolutional-model-for","title":"A Data Set and a Convolutional Model for Iconography Classification in Paintings","date":"2020-10-06","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}