116 datasets found

Faces of the World dataset is used to evaluate the fairness of deep learning models. It contains images of faces from different ethnic groups and ages.

Dataset for Face Recognition using Sketches.

The US 10k Face database contains 10,168 natural human face images and 2,222 of these images are annotated with memorability scores.

The FFHQ dataset is a large dataset of high-quality face images with 1024 × 1024 resolution with variations in age, gender, and glasses.

Cross-age reference coding for age-invariant face recognition and retrieval.

The LFW dataset is a large collection of images of faces with various expressions and poses.

Face recognition dataset used for evaluating the proposed network pruning method

The dataset used in the paper is the WebCaricature dataset, which contains 6,042 caricatures and 5,974 photographs from 252 persons.

The Multi-PIE dataset consists of 754,200 images from 337 subjects with large variations in head pose, illumination, and facial expression.

CVBL video database for face recognition in videos

The MS-Celeb-1M dataset is a large-scale face recognition dataset containing over 10 million images of 10 million subjects.

Face recognition dataset

Face recognition dataset with occlusions

The dataset used in the FairFace Challenge at ECCV 2020 is a reannotated version of IJB-C [37] database enriched by newly collected 12,549 public domain images.

The IJB-A dataset is a large-scale unconstrained face recognition dataset, containing 5,397 images and 2,042 videos from 500 subjects, captured from in-the-wild environment to...

The VGGFace dataset is a large-scale face recognition dataset containing over 2.6 million images of 9,131 subjects.

CelebAMask-HQ provides the parsing map of images in CelebA-HQ down-sampled to 512 × 512, where pixel-level annotation of 19 classes, including facial components and accessories,...

The MS-Celeb-1M dataset contains 100,000 images of 100,000 celebrities.

A large-scale face recognition dataset with diverse lighting conditions and poses.

The dataset is a 4-way array of dimensions 4000 × 90 × 90 × 3, where each pixel gives the intensity for colors red, green and blue, resulting in a multiway array of dimensions X...