AI models
LRR-4X
Parameters
138M
Published
May 8, 2016
LRR-4X is an AI model developed by UC Irvine (United States), first published in May 2016. It works in the vision domain, on tasks such as semantic segmentation.
Epoch AI has no training-compute estimate for this model. The model has 138,000,000 parameters. It was trained on roughly 152.2M datapoints.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of VGG16. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- UC Irvine
- Country of organization
- United States
- Domain
- Vision
- Task
- Semantic segmentation
- Parameters
- 138,000,000
- Dataset size
- 152.2M
- Chips used
- 1
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- VGG16
- Epoch confidence
- Likely
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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