UO
University of Oxford
Vision model · United States ·Nov 2016

DLDL (PASCAL)

Vision Open (Restricted)
564M
Parameters

About DLDL (PASCAL)

DLDL (PASCAL) is an AI model developed by University of Oxford, in the vision category, released in 2016, made available as an open-weights model with 0.6B params.

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

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Frequently asked questions

What is DLDL (PASCAL)? ▶

DLDL (PASCAL) is an AI model developed by University of Oxford, in the vision category, released in 2016. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created DLDL (PASCAL)? ▶

DLDL (PASCAL) was developed by University of Oxford and released in 2016.

Is DLDL (PASCAL) open source or proprietary? ▶

DLDL (PASCAL) ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does DLDL (PASCAL) cost? ▶

Pricing for DLDL (PASCAL) depends on the provider. See the providers table on this page for the latest API rates.

How does DLDL (PASCAL) perform on benchmarks? ▶

Benchmark scores for DLDL (PASCAL) 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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