AI Research Atlas

Segment Anything Model 2 (SAM 2)

Meta · 29 July 2024

Real-time promptable segmentation for images and video, ~44 fps, with SA-V dataset of 51K videos and 600K+ masklets; Apache 2.0.

Added a streaming memory mechanism so one model segments and tracks objects across video frames; video annotation was 8.4x faster than per-frame manual labelling. SAM 2.1 update followed 2024-09-30.

Date
Monday, 29 July 2024
Lab
Meta
Kind
open-weights
Access
open weights

Figures

MeasureValueMeasured by
Inference speed~44 fps
6x faster than SAM on images; 3x fewer interactions in video
company

Sources

  1. ai.meta.com/blog/segment-anything-2/
  2. github.com/facebookresearch/sam2

This record was checked and corrected against its sources on 6 October 2026. How we check

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