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Face Verification datasets
archive 2025-07-28
24 datasets carry the task tag "Face Verification" (the task itself: Face Verification), ordered by the archive's paper count. Page 1 of 1: 24 shown of 24. 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
Face Verification datasets 1–24 of 24
LFW (Labeled Faces in the Wild)
The LFW dataset contains 13,233 images of faces collected from the web.
820 papers · 12 benchmarks
The CASIA-WebFace dataset is used for face verification and face identification tasks.
415 papers · 2 benchmarks
The MS-Celeb-1M dataset is a large-scale face recognition dataset consists of 100K identities, and each identity has about 100 facial images.
257 papers · 0 benchmarks
IJB-C (IARPA Janus Benchmark-C)
The IJB-C dataset is a video-based face recognition dataset.
246 papers · 3 benchmarks
CK+ (Extended Cohn-Kanade dataset)
The Extended Cohn-Kanade (CK+) dataset contains 593 video sequences from a total of 123 different subjects, ranging from 18 to 50 years of age with a variety of genders and heritage.
238 papers · 2 benchmarks
MegaFace was a publicly available dataset which is used for evaluating the performance of face recognition algorithms with up to a million distractors (i.e., up to a million people who are not in the test set).
210 papers · 3 benchmarks
IJB-B (IARPA Janus Benchmark-B)
The IJB-B dataset is a template-based face dataset that contains 1845 subjects with 11,754 images, 55,025 frames and 7,011 videos where a template consists of a varying number of still images and video frames from different sources.
163 papers · 5 benchmarks
IJB-A (IARPA Janus Benchmark A)
The IARPA Janus Benchmark A (IJB-A) database is developed with the aim to augment more challenges to the face recognition task by collecting facial images with a wide variations in pose, illumination, expression, resolution and occlusion.
156 papers · 2 benchmarks
The VGG Face dataset is face identity recognition dataset that consists of 2,622 identities.
94 papers · 0 benchmarks
Oulu-CASIA (Oulu-CASIA NIR&VIS facial expression database)
The Oulu-CASIA NIR&VIS facial expression database consists of six expressions (surprise, happiness, sadness, anger, fear and disgust) from 80 people between 23 and 58 years old.
80 papers · 4 benchmarks
RFW (Racial Faces in-the-Wild)
To validate the racial bias of four commercial APIs and four state-of-the-art (SOTA) algorithms.
73 papers · 0 benchmarks
UMDFaces is a face dataset divided into two parts: Still Images - 367,888 face annotations for 8,277 subjects.
34 papers · 0 benchmarks
A renovation of Labeled Faces in the Wild (LFW), the de facto standard testbed for unconstraint face verification.
17 papers · 4 benchmarks
A renovation of Labeled Faces in the Wild (LFW), the de facto standard testbed for unconstraint face verification.
17 papers · 4 benchmarks
XQLFW (Cross-Quality Labeled Faces in the Wild)
An evaluation protocol for face verification focusing on a large intra-pair image quality difference.
16 papers · 1 benchmark
QMUL-SurvFace is a surveillance face recognition benchmark that contains 463,507 face images of 15,573 distinct identities captured in real-world uncooperative surveillance scenes over wide space and time.
10 papers · 1 benchmark
Biwi Kinect Head Pose is a challenging dataset mainly inspired by the automotive setup.
7 papers · 0 benchmarks
DroneSURF (DroneSURF: Benchmark Dataset for Drone-based Face Recognition)
Drone Surveillance of Faces, is a large-scale drone dataset intended to facilitate research for face recognition using drones.
6 papers · 1 benchmark
BTS3.1 (Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset)
Large, multimodal biometric dataset: It contains still images and videos of over 1,000 people captured at various ranges (up to 1,000 meters) and elevations (up to 400 meters) using a diverse set of cameras (commercial, military-grade,…
5 papers · 2 benchmarks
IJB-S (IARPA Janus Benchmark-S)
Paper Abstract We present IJB–S dataset, an open-source IARPA Janus Surveillance Video Benchmark and associated protocols.
3 papers · 1 benchmark
Large Age-Gap (LAG) is a dataset for face verification, The dataset contains 3,828 images of 1,010 celebrities.
3 papers · 0 benchmarks
PetFace is a large-scale animal face re-identification dataset that includes 257,484 unique individuals across 13 families and 319 breeds.
2 papers · 0 benchmarks
Description: 23 Pairs of Identical Twins Face Image Data.
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
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.