UO
University of Oxford
Vision model · United States ·Jan 2015

VGG-Face

Vision Proprietary
138M
Parameters

About VGG-Face

VGG-Face is an AI model developed by University of Oxford, in the vision category, released in 2015, made available as a proprietary (API-only) model with 0.1B params.

On this page you'll find VGG-Face's full specifications. Review provider pricing and benchmark scores below, or compare VGG-Face head-to-head with other vision models.

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Frequently asked questions

What is VGG-Face?

VGG-Face is an AI model developed by University of Oxford, in the vision category, released in 2015. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created VGG-Face?

VGG-Face was developed by University of Oxford and released in 2015.

Is VGG-Face open source or proprietary?

VGG-Face is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does VGG-Face cost?

Pricing for VGG-Face depends on the provider. See the providers table on this page for the latest API rates.

How does VGG-Face perform on benchmarks?

Benchmark scores for VGG-Face are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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