AI models
Invariant image recognition
Training compute
2.7×10¹⁰ FLOP
Published
Jun 18, 1989
Invariant image recognition is an AI model developed by Complutense University of Madrid (Spain), first published in June 1989. It works in the vision domain, on tasks such as representation learning. It counts among the frontier models: the systems trained with the most compute of their moment.
Training it took an estimated 2.7×10¹⁰ FLOP of compute (estimation method: hardware).
Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Complutense University of Madrid
- Country of organization
- Spain
- Domain
- Vision
- Task
- Representation learning
- Training compute
- 2.7×10¹⁰ FLOP
- Compute estimation method
- Hardware
- Training time
- 6 h
- 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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