{"url":"/sota/document-image-classification-on-noisy-bangla","task":{"name":"Document Image Classification","url":"/task/document-image-classification","note":null},"dataset":{"name":"Noisy Bangla Numeral","url":null},"category":"Computer Vision","categories":["Computer Vision"],"category_note":null,"description":"Document image classification is the task of classifying documents based on images of their contents.\r\n\r\n<span style=\"color:grey; opacity: 0.6\">( Image credit: [Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines](https://arxiv.org/pdf/1711.05862v1.pdf) )</span>","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":["Accuracy"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"Accuracy":"higher"}},"counts":{"rows":2,"rows_with_code":0,"rows_with_paper_page":2,"rows_dated":2,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"PCGAN-CHAR","metrics":{"Accuracy":"96.68"},"uses_additional_data":false,"paper_date":"2019-08-11","paper":"/paper/pcgan-char-progressively-trained-classifier","paper_url":"https://arxiv.org/abs/1908.08987v1","paper_title":"PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters","code":null,"n_code_links":0,"syntology":null},{"rank_in_archive_order":2,"model":"Pixel-level RC","metrics":{"Accuracy":"95.46"},"uses_additional_data":false,"paper_date":"2018-06-21","paper":"/paper/pixel-level-reconstruction-and-classification","paper_url":"http://arxiv.org/abs/1806.08037v1","paper_title":"Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters","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"}}}