AI models
LMICA
Training compute
2.8×10¹⁵ FLOP
Parameters
4.1M
Published
Dec 1, 2004
LMICA is an AI model, first published in December 2004. It works in the vision domain, on tasks such as object detection. It counts among the frontier models: the systems trained with the most compute of their moment.
Training it took an estimated 2.8×10¹⁵ FLOP of compute (estimation method: hardware). The model has 4,096,000 parameters. It was trained on roughly 100K datapoints.
Epoch AI rates the confidence of this record as confident.
Full record
- Domain
- Vision
- Task
- Object detection
- Training compute
- 2.8×10¹⁵ FLOP
- Compute estimation method
- Hardware
- Parameters
- 4,096,000
- Dataset size
- 100K
- Epoch confidence
- Confident
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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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