AI models
ANN Eye Tracker
Training compute
1.8×10¹⁰ FLOP
Parameters
5.6K
Published
Nov 29, 1993
ANN Eye Tracker is an AI model, first published in November 1993. It works in the vision domain, on tasks such as miscellaneous image analysis.
Training it took an estimated 1.8×10¹⁰ FLOP of compute (estimation method: operation counting). The model has 5,620 parameters. It was trained on roughly 4K datapoints.
Epoch AI rates the confidence of this record as confident.
Full record
- Domain
- Vision
- Task
- Miscellaneous image analysis
- Training compute
- 1.8×10¹⁰ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 5,620
- Dataset size
- 4K
- Training time
- 1 h
- 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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