Segment Anything Model (SAM)
AI Image SegmentationTags
Introduction
The Segment Anything Model (SAM) is a foundational image segmentation model developed by Meta AI. It is designed to perform well on a wide variety of segmentation tasks, even those it hasn't encountered during training. SAM can generate high-quality object masks from prompts such as points or boxes, and it can also identify all objects in an image. Its key innovation is a promptable segmentation task, which allows it to adapt to different segmentation needs with zero-shot generalization.
How To Use
SAM can be used by providing prompts such as points, boxes, or text descriptions to identify and segment objects within an image. Users can input an image and then use these prompts to guide the model in generating accurate object masks. The model is designed to be interactive, allowing users to refine the segmentation by adding or modifying prompts.
Pricing
| Packages | Pricing | Features |
|---|---|---|
| Free Edition | Free | Unlimited public repositories, limited private repositories |
| Team Edition | $4/user/month | Unlimited private repositories, basic features |
| Enterprise Edition | $21/user/month | Advanced security and auditing features |
