Computer Vision
SAM 2
Foundation model for real-time promptable visual segmentation in videos and images
Open sourceRuns in the cloudEditors pick
Pricing
Open Source
Free
Platforms
Web
Hosted app
Category
Computer Vision
58 tools
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Last updated
Oct 23
Listing updated
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Zero-shot interactive video object tracking and rotoscoping
Click on any moving subject in a single video frame to generate temporal segmentation masks across the entire clip.
Pricing checked Oct 2026
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About SAM 2
SAM 2 (Segment Anything Model 2) extends Meta foundational segmentation capabilities from static photography into dynamic video streams. Built on a streaming memory architecture that conditions current frames on past interactive prompts, SAM 2 segments target entities in real time at over 40 frames per second.
Developers can supply point clicks, bounding boxes, or rough masks on any single video frame, and SAM 2 propagates precise pixel-level mask boundaries across the entire temporal sequence. The model family ranges from lightweight edge variants (SAM 2 Tiny and Small) up to frontier checkpoints (SAM 2 Large), supporting interactive video labeling, sports analytics, autonomous driving, and robotic visual grounding.
- Unifies image and video segmentation under a single fast streaming memory architecture
- Achieves real-time inference speeds exceeding 40 frames per second on modern hardware
- Released under permissive Apache 2.0 licensing with pre-trained checkpoints from Tiny to Large
- Rapid camera occlusion or extreme motion blur can require occasional mid-video correction clicks
- Large model variants require dedicated GPU VRAM for multi-stream video pipelines
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