> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/workflows/blocks/blocks/transformations/detection-offset.md).
# Detection Offset
Add padding around detected regions.
### About this block
The Detection Offset block lets you add a padding around regions detected by an object detection model or segmentation model.
This block is useful if you want to add space around a detection. You may want to do this if you want to see some background around the detected regions in an image.
This block works with:
* Object detection models
* Segmentation models
The Detection Offset block.
### What you can send into this block
To use this block, you need:
1. An input image, video frame, or a cropped region in your image, and;
2. Predictions from an Object Detection or Segmentation model.
### What this block returns
The Detection Offset block returns a version of the xyxy coordinates returned by a detection model. These coordinates have padding (space).
These coordinates can then be passed into any block that supports detections (i.e. an OCR Model, or a Bounding Box Visualization).
Here is an example showing raw detections displayed with a Bounding Box Visualization (left) and detections to which an offset (padding) has been applied:
The defect in the image is magnified.
For reference, here is the input image:
In the result from the block, the detected region is made bigger.
### Use cases
This block is useful if you want to see the results from a model on an image. This is common during testing.
Because visualizing predictions adds a small amount of overhead to running a Workflow, we only recommend adding a Visualization in production if you need to see the location of results from your model.
