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Face Recognition datasets

archive 2025-07-28

67 datasets carry the task tag "Face Recognition" (the task itself: Face Recognition), ordered by the archive's paper count. Page 2 of 2: 19 shown of 67. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Face Recognition datasets 49–67 of 67

Celeb-HQ Facial Identity Recognition Dataset This dataset is curated for the facial identity classification task.
2 papers · 0 benchmarks
KANFace (KANFace Dataset)
KANFace consists of 40K still images and 44K sequences (14.5M video frames in total) captured in unconstrained, real-world conditions from 1,045 subjects.
2 papers · 1 benchmark
MFW+ is a benchmark dataset for masked face recognition and an extended version of MFW.
2 papers · 1 benchmark
SWAX (Sense Wax Attack dataset)
Comprised of real human and wax figure images and videos that endorse the problem of face spoofing detection.
2 papers · 0 benchmarks
Description: 23 Pairs of Identical Twins Face Image Data.
1 paper · 0 benchmarks
The Curated AFD dataset is a curated version of the Asian Face Dataset (AFD) for face recognition research.
1 paper · 0 benchmarks
The proposed Extended-YouTube Faces (E-YTF) is an extension of the famous YouTube Faces (YTF) dataset and is specifically designed to further push the challenges of face recognition by addressing the problem of open-set face identification…
1 paper · 0 benchmarks
FAD (Face Attributes Dataset)
FAD is a dataset that have roughly 200,000 attribute labels for the above traits, for over 10,000 facial images.
1 paper · 0 benchmarks
IMFW (Indian Masked Faces In The Wild)
Indian Masked faces in the wild Database is collected into three sets:(i) Indian Celebrity, (ii) Instagram and (iii) Indian Crowd.
1 paper · 0 benchmarks
LSLF (Large-scale Labeled Face)
Consists of a large number of unconstrained multi-view and partially occluded faces.
1 paper · 0 benchmarks
LTFT (Long-Term Face Tracking)
Dataset originally conceived for multi-face tracking/detection for highly crowded scenarios.
1 paper · 0 benchmarks
MFSD (Masked Face Segmentation Dataset)
During the covid-19 era wearing face masks posed new challenges to face-related tasks, including facial recognition, face inpainting, expression recognition, and object removal.
1 paper · 1 benchmark
MFW+ is a benchmark dataset for masked face recognition and an extended version of MFW.
1 paper · 1 benchmark
OCFR-LFW (Occluded Face Recognition LFW)
A occluded version of the LFW dataset for occluded face recognition verification.
1 paper · 0 benchmarks
UCCS (UnConstrained College Students Dataset)
Unconstrained Face Detection and Open-Set Face Recognition Challenge Paper: https://arxiv.org/abs/1708.02337 Official website: https://vast.uccs.edu/Opensetface UnOfficial website: https://exposing.ai/uccs Face detection and recognition…
1 paper · 0 benchmarks
WildestFaces is tailored to study cross-domain recognition under a variety of adverse conditions.
1 paper · 0 benchmarks
The scales of the data accessible through internet search engines can reach hundreds of millions, or even billions.
1 paper · 0 benchmarks
"The Chicago Face Database was developed at the University of Chicago by Debbie S.
1 paper · 0 benchmarks
We introduce an annotated dataset of five thousand human labeled pareidolic face images, called Faces in Things''.
0 papers · 0 benchmarks

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.