> For the complete documentation index, see [llms.txt](https://docs.imerit.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.imerit.net/plugins/first-party-ango-plugins/sam-3.md).
# SAM 3
## Overview
The One-Click Segmentation plugin allows you to create complex and detailed segmentations of an object starting with one point or one bounding box.
The SAM 3 Plugin uses the Segment Anything Model 3 to automatically generate segmentation masks from input prompts and convert them into segmentation or polygon annotations.
## Plugin Functionality
The SAM 3 plugin enables automatic segmentation generation using the Segment Anything Model. It produces high-quality segmentation annotations from a text prompt, dramatically speeding up the annotation process for image and video assets.
### Supported Data Types
* Image
* Video \[Limited Support]
### Supported Annotation Tools
* Segmentation
* Polygon
## Plugin Configuration
The **Overwrite** setting in model plugins controls whether existing annotations are replaced or kept. When enabled, the plugin replaces all existing annotations with new model predictions; when disabled, it simply adds the new results without deleting what’s already there.
\
You may vary a number of settings related to the model plugin from the **Config JSON** field. Each option is detailed below:
```json
{
"prompt": "",
"threshold": 0.8,
"polygon_simplification_tolerance": 0.9
}
```
* **"prompt":** Specifies the object, class, or region that should be segmented in the image. The model uses this text prompt to identify and generate segmentation masks for matching objects. Providing a clear and specific prompt typically improves segmentation accuracy.
* Example:
* "prompt": "red apple"
* "prompt": "penguin"
* **"threshold":** Sets the confidence threshold for accepting segmentation predictions. Predictions with a confidence score below this value are filtered out.
* Example:
* "threshold": 0.8
* **"polygon\_simplification\_tolerance":** Controls how much the output polygons are simplified to reduce complexity. Higher values produce simpler polygons with fewer vertices, while lower values preserve more detail.
* Example:
* "polygon\_simplification\_tolerance": 0.9
