Faster Segment Anything: Towards lightweight SAM for mobile applications.
Transformer based encoder‑decoder where prompts specify what to segment in an image thereby allowing segmentation without the need for additional training. The image encoder generates embeddings and the lightweight decoder operates on the embeddings for point and mask based image segmentation.
Model checkpoint:vit_t
Input resolution:720p (720x1280)
Number of parameters (SAMEncoder):6.95M
Model size (SAMEncoder) (float):26.6 MB
Number of parameters (SAMDecoder):6.16M
Model size (SAMDecoder) (float):23.7 MB
Factory Automation
Robotic Navigation
Camera
Source Model: APACHE-2.0
Deployable Model: AI-HUB-MODELS-LICENSE