{"url":"/dataset/tncr-dataset","name":"TNCR Dataset","full_name":"Table Net Detection and Classification Dataset","description_markdown":"We present TNCR, a new table dataset with varying image quality collected from free open source websites. TNCR dataset can be used for table detection in scanned document images and their classification into 5 different classes.\r\n\r\nTNCR contains 9428 high-quality labeled images. In this paper, we have implemented state-of-the-art deep learning-based methods for table detection to create several strong baselines. Cascade Mask R-CNN with ResNeXt-101-64x4d Backbone Network achieves the highest performance compared to other methods with a precision of 79.7%, recall of 89.8%, and f1 score of 84.4% on the TNCR dataset. We have made TNCR open source in the hope of encouraging more deep learning approaches to table detection, classification and structure recognition.\r\n\r\nImage source: [https://github.com/abdoelsayed2016/TNCR_Dataset](https://github.com/abdoelsayed2016/TNCR_Dataset)","description_withheld":null,"homepage":"https://github.com/abdoelsayed2016/TNCR_Dataset","introduced_date":"2021-06-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/tncr-table-net-detection-and-classification","title":"TNCR: Table Net Detection and Classification Dataset","first_author":"Abdelrahman Abdallah","url":null},"license":{"name":"MIT License","url":"https://github.com/abdoelsayed2016/TNCR_Dataset/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Table annotation","url":"/task/table-annotation","datasets_with_task":"/datasets/task/table-annotation"},{"name":"Table Recognition","url":"/task/table-recognition","datasets_with_task":"/datasets/task/table-recognition"},{"name":"Table Detection","url":"/task/table-detection","datasets_with_task":"/datasets/task/table-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Russian","url":"/datasets/language/russian"}],"variants":["TNCR Dataset"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}