VGG-Face

Parameters

138M

Published

Jan 1, 2015

VGG-Face is an AI model developed by University of Oxford (United Kingdom), first published in January 2015. It works in the vision domain, on tasks such as face recognition.

Epoch AI has no training-compute estimate for this model. The model has 138,000,000 parameters. It was trained on roughly 2.6M datapoints. Training ran on 4 NVIDIA GeForce GTX Titan Black.

Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.

Full record

Organization: University of Oxford
Country of organization: United Kingdom
Domain: Vision
Task: Face recognition
Parameters: 138,000,000
Dataset size: 2.6M
Training hardware: NVIDIA GeForce GTX Titan Black
Chips used: 4
Training power draw: 2.1 kW
Model accessibility: Unreleased
Open weights: No
Epoch confidence: Confident