FixRes ResNeXt-101 WSL

Parameters

829M

Published

Jun 14, 2019

FixRes ResNeXt-101 WSL is an AI model developed by Facebook AI (United States), first published in June 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 829,000,000 parameters. It was trained on roughly 940M datapoints.

Access: Open weights (non-commercial). Its weights are openly available. The reference paper has 477 citations.

Full record

Organization: Facebook AI
Country of organization: United States
Domain: Vision
Task: Image classification
Parameters: 829,000,000
Dataset size: 940M
Model accessibility: Open weights (non-commercial)
Open weights: Yes
Citations: 477