AI models
Diabetic Retinopathy Detection Net
Published
Dec 13, 2016
Diabetic Retinopathy Detection Net is an AI model developed by UT Austin, University of California (UC) Berkeley and Google (United States), first published in December 2016. It works in the vision domain, on tasks such as image classification.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 128.2K datapoints.
The reference paper has 3,540 citations.
Full record
- Organization
- UT Austin, University of California (UC) Berkeley, Google
- Country of organization
- United States
- Domain
- Vision
- Task
- Image classification
- Dataset size
- 128.2K
- Citations
- 3,540
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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