LCNP LabelMe

Training compute

3.3×10¹⁵ FLOP

Parameters

13.7M

Published

Nov 22, 2009

LCNP LabelMe is an AI model developed by University of Bonn (Germany), first published in November 2009. It works in the vision domain, on tasks such as object recognition. It counts among the frontier models: the systems trained with the most compute of their moment.

Training it took an estimated 3.3×10¹⁵ FLOP of compute (estimation method: operation counting). The model has 13,729,792 parameters. It was trained on roughly 40K datapoints.

Epoch AI rates the confidence of this record as confident.

Full record

Organization: University of Bonn
Country of organization: Germany
Domain: Vision
Task: Object recognition
Training compute: 3.3×10¹⁵ FLOP
Compute estimation method: Operation counting
Parameters: 13,729,792
Dataset size: 40K
Epoch confidence: Confident