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Table Detection datasets
archive 2025-07-28
10 datasets carry the task tag "Table Detection" (the task itself: Table Detection), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Table Detection datasets 1–10 of 10
The ICDAR 2013 dataset consists of 229 training images and 233 testing images, with word-level annotations provided.
246 papers · 3 benchmarks
FUNSD (Form Understanding in Noisy Scanned Documents)
Form Understanding in Noisy Scanned Documents (FUNSD) comprises 199 real, fully annotated, scanned forms.
179 papers · 3 benchmarks
SciTSR is a large-scale table structure recognition dataset, which contains 15,000 tables in PDF format and their corresponding structure labels obtained from LaTeX source files.
36 papers · 0 benchmarks
To address the need for a standard open domain table benchmark dataset, the author propose a novel weak supervision approach to automatically create the TableBank, which is orders of magnitude larger than existing human labeled datasets…
16 papers · 0 benchmarks
The goal of PubTables-1M is to create a large, detailed, high-quality dataset for training and evaluating a wide variety of models for the tasks of table detection, table structure recognition, and functional analysis.
15 papers · 0 benchmarks
IIIT-AR-13K is created by manually annotating the bounding boxes of graphical or page objects in publicly available annual reports.
6 papers · 0 benchmarks
Table is a compact and efficient form for summarizing and presenting correlative information in handwritten and printed archival documents, scientific journals, reports, financial statements and so on.
2 papers · 1 benchmark
TNCR Dataset (Table Net Detection and Classification Dataset)
We present TNCR, a new table dataset with varying image quality collected from free open source websites.
2 papers · 0 benchmarks
CISOL (Construction Industry Steel Ordering Lists Dataset)
The Construction Industry Steel Ordering Lists (CISOL) dataset comprises table-centric, real-world documents from the construction industry, annotated to facilitate the testing and training of deep learning models for table detection (TD)…
1 paper · 2 benchmarks
STDW is a diverse large-scale dataset for table detection with more than seven thousand samples containing a wide variety of table structures collected from many diverse sources.
1 paper · 1 benchmark
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.