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

Acquire vgg-face dataset completely, with pre and post processing and a sample dataset loader script. Step 1: Acquire VGG-Face-Dataset: Download and unzip ...

This page contains the download links for building the VGG-Face dataset, described in [1]. The dataset consists of 2,622 identities. Each identity has an ...

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

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. The dataset is divided ...

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

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 ...

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