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Labeled Face in the Wild (LFW) dataset
The Labeled Face in the Wild (LFW) dataset is a large-scale face recognition dataset containing over 13,000 images of 130 individuals. -
FaceTracer
The FaceTracer dataset contains a large collection of face images of children. -
Children Longitudinal Face (CLF)
The Children Longitudinal Face (CLF) dataset contains 3,682 face images of 919 children, in the age range of 2 to 18 years. Each subject has an average of 4 images acquired over... -
Facescrub dataset
The Facescrub dataset contains over 100,000 face images of 530 people. -
Face dataset
The dataset used in this paper is a collection of 3D shapes with the same connectivity to train the network. -
Face Research Lab London (FRLL) dataset
Face Research Lab London (FRLL) dataset used for evaluating the proposed Fast-DiM algorithm -
Deep Funneled LFW
The deep funneled LFW dataset contains about 13,233 images, 5,749 different identities, and 40 binary attributes for each face image. -
VGG-Face dataset
The VGG-Face dataset contains 2.2 million URLs with corresponding face detection locations. -
CASIA-Webface dataset
The CASIA-Webface dataset contains 494,414 images of 10,575 subjects. -
IARPA Janus Benchmark-B (IJB-B) dataset
The IARPA Janus Benchmark-B (IJB-B) dataset contains 1,026,280 face images of 1,845 individuals. -
Labeled Faces in the Wild (LFW) dataset
Labeled Faces in the Wild (LFW) dataset consists of 5749 subjects each having different number of images ranging from 1 to 530. -
Image pairs of competitors with training instances of train_relationship.csv
The dataset is used for kinship recognition task, where the goal is to determine if two individuals are biomedically related based solely on images of their faces.