UO
University of Pittsburgh
Vision model · United States ·Mar 2017

AlexNet + coordinating filters

Vision Open (Restricted)
60M
Parameters

About AlexNet + coordinating filters

AlexNet + coordinating filters is an AI model developed by University of Pittsburgh, in the vision category, released in 2017, made available as an open-weights model with 0.1B params.

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

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Frequently asked questions

What is AlexNet + coordinating filters? ▶

AlexNet + coordinating filters is an AI model developed by University of Pittsburgh, in the vision category, released in 2017. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created AlexNet + coordinating filters? ▶

AlexNet + coordinating filters was developed by University of Pittsburgh and released in 2017.

Is AlexNet + coordinating filters open source or proprietary? ▶

AlexNet + coordinating filters 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 AlexNet + coordinating filters cost? ▶

Pricing for AlexNet + coordinating filters depends on the provider. See the providers table on this page for the latest API rates.

How does AlexNet + coordinating filters perform on benchmarks? ▶

Benchmark scores for AlexNet + coordinating filters 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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