AI models
iCCCP
Training compute
1.1×10¹⁵ FLOP
Published
Jun 13, 2010
iCCCP is an AI model developed by Massachusetts Institute of Technology (MIT) (United States), first published in June 2010. It works in the vision domain, on tasks such as object detection.
Training it took an estimated 1.1×10¹⁵ FLOP of compute (estimation method: hardware). It was trained on roughly 10K datapoints.
Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Massachusetts Institute of Technology (MIT)
- Country of organization
- United States
- Domain
- Vision
- Task
- Object detection
- Training compute
- 1.1×10¹⁵ FLOP
- Compute estimation method
- Hardware
- Dataset size
- 10K
- Chips used
- 1
- Training time
- 25 h
- Model accessibility
- Unreleased
- Open weights
- No
- Epoch confidence
- Confident
More from Massachusetts Institute of Technology (MIT)
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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