AI models
ShuffleNet v2
Parameters
2.3M
Published
Jun 30, 2018
ShuffleNet v2 is an AI model developed by Tsinghua University and Megvii Inc (China), first published in June 2018. It works in the vision domain, on tasks such as image classification and object detection.
Epoch AI has no training-compute estimate for this model. The model has 2,280,000 parameters. It was trained on roughly 1.3M datapoints.
The reference paper has 6,289 citations.
Full record
- Organization
- Tsinghua University, Megvii Inc
- Country of organization
- China
- Domain
- Vision
- Task
- Image classification, Object detection
- Parameters
- 2,280,000
- Dataset size
- 1.3M
- Citations
- 6,289
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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