# Open World Object Detection
## Overview
The Open World Object Detection plugin allows you to detect a great variety of objects on image files in your project. The plugin will draw a bounding box around each object type it can find, and it will write the type of object in a nested text classification in the box itself.
## Plugin Functionality
The Open World Object Detection Plugin automatically detects objects in images using a open world object detection model. It draws bounding boxes, and provides confidence scores, making it easy to annotate existing categories while flagging new or unexpected objects for review.
{% hint style="info" %}
The plugin will create unknown bounding boxes not belonging to any class.
{% endhint %}
### Supported Data Types
* Image
### Supported Annotation Tools
* Bounding Box
## 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.
YOLO | Open World Object Detection plugin integration to the workflow
You may vary a number of settings related to the model plugin from the **Config JSON** field. Each option is detailed below:
```json
{
"threshold": 0.3
}
```
* **"threshold":** The confidence score threshold for object detection. Detections with a confidence score below this value will be filtered out. A higher threshold reduces false positives but may miss low-confidence detections.
* Example:
* "threshold": 0.3
### Detection Classes
The following are the classes of objects this plugin will detect:
{% file src="/files/oOMDLZvLoO1u9bhDnnTG" %}
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