CM
Carnegie Mellon University (CMU)
Vision model · United States ·Dec 2016

HR-ResNet101

Vision Open (Restricted)
44.5M
Parameters

About HR-ResNet101

HR-ResNet101 is an AI model developed by Carnegie Mellon University (CMU), in the vision category, released in 2016, made available as an open-weights model with 0B params.

On this page you'll find HR-ResNet101's full specifications. Review provider pricing and benchmark scores below, or compare HR-ResNet101 head-to-head with other vision models.

→ More models by Carnegie Mellon University (CMU) → All vision models → AI benchmarks leaderboard

Links

Announcement ↗

Community

Would you run HR-ResNet101 again?
No votes yet — be the first.
Did it run? — community reports by hardware

No reports yet. Own this model on some hardware? Be the first to confirm it runs.

Discussion

No comments yet. Start the discussion.

More models like HR-ResNet101

AI
H-optimus-0
· 1.1B
 AI
SSD
 AI
LCNP MNIST
· 11.6M
 AI
LCNP NORB
· 16.8M
 AI
LMICA
· 4.1M
 AI
SOM-CNN
· 32K

Frequently asked questions

What is HR-ResNet101? ▶

HR-ResNet101 is an AI model developed by Carnegie Mellon University (CMU), in the vision category, released in 2016. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created HR-ResNet101? ▶

HR-ResNet101 was developed by Carnegie Mellon University (CMU) and released in 2016.

Is HR-ResNet101 open source or proprietary? ▶

HR-ResNet101 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 HR-ResNet101 cost? ▶

Pricing for HR-ResNet101 depends on the provider. See the providers table on this page for the latest API rates.

How does HR-ResNet101 perform on benchmarks? ▶

Benchmark scores for HR-ResNet101 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

No videos yet. Know a good one? Add it below.

Know a great video about HR-ResNet101?