AI models
YOLOv2
Parameters
51M
Published
Dec 25, 2016
YOLOv2 is an AI model developed by University of Washington and Allen Institute for AI (United States), first published in December 2016. It works in the vision domain, on tasks such as object detection.
Epoch AI has no training-compute estimate for this model. The model has 51,000,000 parameters. It was trained on roughly 1.3M datapoints.
Access: Open weights (non-commercial). Its weights are openly available. The reference paper has 17,523 citations.
Full record
- Organization
- University of Washington, Allen Institute for AI
- Country of organization
- United States
- Domain
- Vision
- Task
- Object detection
- Parameters
- 51,000,000
- Dataset size
- 1.3M
- Numerical format
- FP32
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Citations
- 17,523
More from University of Washington,Allen Institute for AI
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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