AI models
SENet (ImageNet)
Parameters
28.1M
Published
Sep 5, 2017
SENet (ImageNet) is an AI model developed by Chinese Academy of Sciences and University of Oxford (China and United Kingdom), first published in September 2017. It works in the vision domain, on tasks such as image classification.
Epoch AI has no training-compute estimate for this model. The model has 28,100,000 parameters. It was trained on roughly 1.3M datapoints.
The reference paper has 33,922 citations.
Full record
- Organization
- Chinese Academy of Sciences, University of Oxford
- Country of organization
- China, United Kingdom
- Domain
- Vision
- Task
- Image classification
- Parameters
- 28,100,000
- Dataset size
- 1.3M
- Numerical format
- FP32
- Citations
- 33,922
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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