AI models
YOLOv9-E
Training compute
1.7×10¹⁷ FLOP
Parameters
57.3M
Published
Feb 29, 2024
YOLOv9-E is an AI model developed by Academia Sinica, National Taipei University of Technology and Chung Yuan Christian University (Taiwan), first published in February 2024. It works in the vision domain, on tasks such as object detection.
Training it took an estimated 1.7×10¹⁷ FLOP of compute (estimation method: operation counting). The model has 57,300,000 parameters.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Academia Sinica, National Taipei University of Technology, Chung Yuan Christian University
- Country of organization
- Taiwan
- Domain
- Vision
- Task
- Object detection
- Training compute
- 1.7×10¹⁷ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 57,300,000
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- 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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