EfficientNet-L2

Parameters

480M

Published

May 28, 2019

EfficientNet-L2 is an AI model developed by Google (United States), first published in May 2019. It works in the vision domain, on tasks such as image classification.

Epoch AI has no training-compute estimate for this model. The model has 480,000,000 parameters. It was trained on roughly 1.3M datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 23,945 citations.

Full record

Organization: Google
Country of organization: United States
Domain: Vision
Task: Image classification
Parameters: 480,000,000
Dataset size: 1.3M
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 23,945