UO
University of California (UC) Berkeley
Vision model · United States ·Nov 2014

Fully Convolutional Networks

Vision Proprietary

About Fully Convolutional Networks

Fully Convolutional Networks is an AI model developed by University of California (UC) Berkeley, in the vision category, released in 2014, made available as a proprietary (API-only) model.

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

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Frequently asked questions

What is Fully Convolutional Networks? ▶

Fully Convolutional Networks is an AI model developed by University of California (UC) Berkeley, in the vision category, released in 2014. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Fully Convolutional Networks? ▶

Fully Convolutional Networks was developed by University of California (UC) Berkeley and released in 2014.

Is Fully Convolutional Networks open source or proprietary? ▶

Fully Convolutional Networks is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Fully Convolutional Networks cost? ▶

Pricing for Fully Convolutional Networks depends on the provider. See the providers table on this page for the latest API rates.

How does Fully Convolutional Networks perform on benchmarks? ▶

Benchmark scores for Fully Convolutional Networks 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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