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DenseNet-264
About DenseNet-264
DenseNet-264 is an AI model developed by Tsinghua University, in the vision category, released in 2016, made available as an open-weights model with 0B params.
On this page you'll find DenseNet-264's full specifications. Review provider pricing and benchmark scores below, or compare DenseNet-264 head-to-head with other vision models.
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Frequently asked questions
What is DenseNet-264? ▶
DenseNet-264 is an AI model developed by Tsinghua University, in the vision category, released in 2016. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DenseNet-264? ▶
DenseNet-264 was developed by Tsinghua University and released in 2016.
Is DenseNet-264 open source or proprietary? ▶
DenseNet-264 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 DenseNet-264 cost? ▶
Pricing for DenseNet-264 depends on the provider. See the providers table on this page for the latest API rates.
How does DenseNet-264 perform on benchmarks? ▶
Benchmark scores for DenseNet-264 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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