13 datasets found

Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.

WebFace: WebFace is a large-scale face recognition dataset containing 4.2 million facial images from 205,990 identities.

The Youtube Faces (YTF) dataset contains 3,424 videos belonging to 1,595 different identities.

The Labeled Face in the Wild (LFW) dataset contains 13,233 facial images belonging to 5,749 different individuals.

The dataset used in the paper for image classification, object detection, and face verification tasks.

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 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...

The dataset used in the paper is VGGFace2, which is a dataset for face recognition tasks.

VGGFace is a large-scale face recognition dataset. It contains 3 million images of 9,000 different people.

Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.

Large publicly available facial datasets for training and testing purposes

Face recognition dataset used for evaluating the efficiency of the proposed Translation Variant Convolution (TVConv) operator.

Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.