Segment Anything 2 (SAM 2): Meta AI's Newest Model | Community Q&A (Jul 30)
Segment Anything Model 2 (SAM 2) is a foundation model designed to address promptable visual segmentation in both images and videos. The model extends its functionality to video by treating images as single-frame videos. Its design, a simple transformer architecture with streaming memory, enables real-time video processing. A model-in-the-loop data engine, which enhances the model and data through user interaction, was built to collect the SA-V dataset, the largest video segmentation dataset to date. SAM 2, trained on this extensive dataset, delivers robust performance across diverse tasks and visual domains.
📓 SAM2 notebook: https://colab.research.google.com/git...
🗞 SAM2 overview blog post: https://blog.roboflow.com/what-is-seg...
Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐