# 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 your export 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="" %}