Segment Anything Model 2

Training compute

1.2×10²² FLOP

Parameters

224.4M

Published

Jul 29, 2024

Segment Anything Model 2 is an AI model developed by Meta AI (United States), first published in July 2024. It works in the vision and video domain, on tasks such as image segmentation.

Training it took an estimated 1.2×10²² FLOP of compute. The model has 224,400,000 parameters.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Meta AI
Country of organization: United States
Domain: Vision, Video
Task: Image segmentation
Training compute: 1.2×10²² FLOP
Parameters: 224,400,000
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Likely