AI · Web app
SAM 2
Promptable visual segmentation model for images and real-time video tracking.
Meta's Segment Anything Model 2 (SAM 2) is a computer vision foundation model that segments and tracks visual objects across images and video frames. Users can prompt the model with clicks or bounding boxes on a single frame, and it propagates masks throughout the entire video sequence in real time.
What it's for
- Track and isolate moving objects across video frames without manual rotoscoping
- Generate cutouts and green-screen masks for video editing and compositing
- Blur or pixelate specific sensitive subjects across video footage
- Segment multiple objects simultaneously in computer vision pipelines
Features
- Zero-shot promptable segmentation via clicks, bounding boxes, or masks
- Streaming memory architecture for real-time video tracking
- Multi-object tracking support with independent per-object inference
- Automatic mask generation across entire images
- Pretrained checkpoints ranging from tiny to large
- Official open-source web demo interface and backend code
Pricing
Open source. Free and open source under Apache 2.0
Details
- Type
- Web app
- Category
- AI
- Topic
- Computer Vision
- Open source
- Yes
- Platforms
- Web, Code library, Self-hosted, Linux, Windows
- For
- Video editors, AI researchers, and computer vision developers
- Alternative to
- Runway, Adobe After Effects Roto Brush
- Tags
- computer vision, segmentation, video editing, rotoscoping, object tracking, meta ai
Why it was saved
- @mardan_king: Eliminates tedious manual rotoscoping by allowing users to isolate, blur, pixelate, or remove objects in video clips in seconds.
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