{"url":"/dataset/deeppatent","name":"DeepPatent","full_name":null,"description_markdown":"The dataset consists of over 350,000 public domain patent drawings collected from the United States Patent and Trademark Office (USPTO). The whole collection consists of a total of 45,000 design patents published between January 2018 and June 2019.","description_withheld":null,"homepage":"https://github.com/GoFigure-LANL/DeepPatent-dataset","introduced_date":"2021-01-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"BSD-3 License","url":"https://github.com/GoFigure-LANL/DeepPatent-dataset/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DeepPatent"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-retrieval-on-deeppatent","task":"Image Retrieval","dataset_variant":"DeepPatent","rows":4,"metrics":["mean average precision"],"first_row_in_archive_order":{"model":"SwinV2","paper":"/paper/patent-image-retrieval-using-transformer","metrics":{"mean average precision":"0.856"},"code_links":[{"title":"L4Clippers/Patent-Image-Retrieval-Transformer-DML","url":"https://github.com/L4Clippers/Patent-Image-Retrieval-Transformer-DML"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/impact-a-large-scale-integrated-multimodal","title":"IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents","date":"2024-12-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/patent-image-retrieval-using-transformer","title":"Patent image retrieval using transformer-based deep metric learning","date":"2023-09-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/patent-image-retrieval-using-cross-entropy","title":"Patent Image Retrieval Using Cross-entropy-based Metric Learning","date":"2023-02-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deeppatent-large-scale-patent-drawing","title":"DeepPatent: Large scale patent drawing recognition and retrieval","date":"2022-01-01","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."}