

SAM
Overview :
SAM is an advanced video object segmentation model. It combines optical flow and RGB information to detect and segment moving objects in videos. The model has achieved significant performance improvements in both single-object and multi-object benchmark tests while maintaining object identity consistency.
Target Users :
Suitable for scenarios such as video analysis, monitoring, and vision systems for autonomous vehicles.
Use Cases
Abnormal behavior detection in surveillance videos
Road user segmentation in autonomous driving
Object editing in film post-production
Features
Video Object Segmentation
Optical Flow Estimation
Object Identity Preservation
Single and Multi-Object Segmentation
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