R-CNN (T-net)

Parameters

69M

Published

Nov 11, 2013

R-CNN (T-net) is an AI model developed by University of California (UC) Berkeley (United States), first published in November 2013. It works in the vision domain, on tasks such as object detection.

Epoch AI has no training-compute estimate for this model. The model has 69,003,872 parameters.

The reference paper has 28,903 citations.

Full record

Organization: University of California (UC) Berkeley
Country of organization: United States
Domain: Vision
Task: Object detection
Parameters: 69,003,872
Numerical format: FP32
Citations: 28,903

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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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