Home › Datasets › task › Lipreading

Lipreading datasets

archive 2025-07-28

8 datasets carry the task tag "Lipreading" (the task itself: Lipreading), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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

Lipreading datasets 1–8 of 8

LRW (Lip Reading in the Wild)
The Lip Reading in the Wild (LRW) dataset a large-scale audio-visual database that contains 500 different words from over 1,000 speakers.
188 papers · 8 benchmarks
LRS2 (Lip Reading Sentences 2)
The Oxford-BBC Lip Reading Sentences 2 (LRS2) dataset is one of the largest publicly available datasets for lip reading sentences in-the-wild.
115 papers · 10 benchmarks
LRS3-TED is a multi-modal dataset for visual and audio-visual speech recognition.
63 papers · 7 benchmarks
The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs.
10 papers · 5 benchmarks
GLips (German Lips)
The German Lipreading dataset consists of 250,000 publicly available videos of the faces of speakers of the Hessian Parliament, which was processed for word-level lip reading using an automatic pipeline.
6 papers · 0 benchmarks
A new large-scale, in-thewild Mandarin dataset, CAS-VSR-S101 with 101.1 hours of data.
1 paper · 3 benchmarks
MIRACL-VC1 is a lip-reading dataset including both depth and color images.
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.