The VGG Face dataset is face identity recognition dataset that consists of 2622 identities. It contains over 2.6 million images.

The dataset consists of 2,622 identities. Each identity has an associated text file containing URLs for images and corresponding face detections. Please read ...

VGG Face is a dataset of images scraped from the Internet used for building face recognition technologies.

The dataset contains 3.31 million images of 9131 subjects (identities), with an average of 362.6 images for each subject. Images are downloaded from Google ...

The VGGFace2 dataset is made of around 3.31 million images divided into 9131 classes, each representing a different person identity.

Explore and run machine learning code with Kaggle Notebooks | Using data from Northeastern SMILE Lab - Recognizing Faces in the Wild.

A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, 2007.

Acquire vgg-face dataset completely, with pre and post processing and a sample dataset loader script.

23 окт. 2017 г. · In this paper, we introduce a new large-scale face dataset named VGGFace2. The dataset contains 3.31 million images of 9131 subjects, with an average of 362.6 ...

VGG & VGG2: These two face recognition datasets contain color face images of celebrities collected from the web. The images are available with large variation ...