AI models
Synergistic Face Detector
Training compute
5.3×10¹³ FLOP
Parameters
16.6K
Published
Dec 1, 2004
Synergistic Face Detector is an AI model developed by NEC Laboratories and Courant Institute of Mathematical Sciences (United States), first published in December 2004. It works in the vision domain, on tasks such as face detection.
Training it took an estimated 5.3×10¹³ FLOP of compute (estimation method: hardware). The model has 16,636 parameters. Training ran on Intel Pentium 4 2.40 for about 26 hours.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- NEC Laboratories, Courant Institute of Mathematical Sciences
- Country of organization
- United States
- Domain
- Vision
- Task
- Face detection
- Training compute
- 5.3×10¹³ FLOP
- Compute estimation method
- Hardware
- Parameters
- 16,636
- Training hardware
- Intel Pentium 4 2.40
- Training time
- 26 h
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Confident
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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