ResNeXt-101 Billion-scale

Parameters

193M

Published

May 2, 2019

ResNeXt-101 Billion-scale is an AI model developed by Facebook AI (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 193,000,000 parameters. It was trained on roughly 90M datapoints.

Access: Open weights (non-commercial). Its weights are openly available. The reference paper has 490 citations.

Full record

Organization: Facebook AI
Country of organization: United States
Domain: Vision
Task: Image classification
Parameters: 193,000,000
Dataset size: 90M
Model accessibility: Open weights (non-commercial)
Open weights: Yes
Citations: 490