{"url":"/sota/document-layout-analysis-on-rvl-cdip","task":{"name":"Document Layout Analysis","url":"/task/document-layout-analysis","note":null},"dataset":{"name":"RVL-CDIP","url":"/dataset/rvl-cdip"},"category":"Computer Vision","categories":["Computer Vision"],"category_note":null,"description":"\"**Document Layout Analysis** is performed to determine physical structure of a document, that is, to determine document components. These document components can consist of single connected components-regions [...] of\r\npixels that are adjacent to form single regions [...] , or group\r\nof text lines. A text line is a group of characters, symbols,\r\nand words that are adjacent, “relatively close” to each other\r\nand through which a straight line can be drawn (usually with\r\nhorizontal or vertical orientation).\"  L. O'Gorman, \"The document spectrum for page layout analysis,\" in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1162-1173, Nov. 1993.\r\n\r\nImage credit: [PubLayNet: largest dataset ever for document layout analysis](https://arxiv.org/pdf/1908.07836v1.pdf)","description_from":"task","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","rank":"the archive's row order at snapshot; not re-ranked","rows_end_at":"2025-07-28","rows_withheld_as_spam":0,"metric_values":"the archive's strings, untouched"},"metrics":["FAR","WAR"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"FAR":null,"WAR":null}},"counts":{"rows":1,"rows_with_code":0,"rows_with_paper_page":1,"rows_dated":1,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"VisualWordGrid","metrics":{"FAR":"28.7","WAR":"18.7"},"uses_additional_data":false,"paper_date":"2020-10-05","paper":"/paper/visualwordgrid-information-extraction-from-1","paper_url":"https://arxiv.org/abs/2010.02358v5","paper_title":"VisualWordGrid: Information Extraction From Scanned Documents Using A Multimodal Approach","code":null,"n_code_links":0,"syntology":null}],"since_archive":{"present":false,"note":"No Syntology-extracted rows are published in this build."},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per row: N of M harvested code samples from that row's paper executed on a synthesized fixture; the other M-N are unverified. Not a reproduction of the row's number; not a correctness claim. n_pointer_only_licence counts samples the site points at rather than redistributes (a licence axis, independent of ran/unverified).","rows_with_graph_line":0,"rows_with_any_sample_ran":0,"distinct_papers_with_graph_line":0,"distinct_papers_with_any_sample_ran":0,"samples_over_distinct_papers":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"row-weighted: a paper behind several rows is counted once per row; inflated relative to samples_over_distinct_papers by design, kept for readers summing the per-row syntology blocks"}}}