Detections Merge¶
Class: DetectionsMergeBlockV1
Source: inference.core.workflows.core_steps.transformations.detections_merge.v1.DetectionsMergeBlockV1
The DetectionsMerge block combines multiple detections into a single bounding box that encompasses all input detections.
This is useful when you want to:
- Merge overlapping or nearby detections of the same object
- Create a single region that contains multiple detected objects
- Simplify multiple detections into one larger detection
The resulting detection will have:
- A bounding box that contains all input detections
- The classname of the merged detection is set to "merged_detection" by default, but can be customized via the class_name parameter
- The confidence is set to the lowest confidence among all detections
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/detections_merge@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
class_name |
str |
The class name to assign to the merged detection.. | ❌ |
The Refs column marks possibility to parametrise the property with dynamic values available
in workflow runtime. See Bindings for more info.
Available Connections¶
Compatible Blocks
Check what blocks you can connect to Detections Merge in version v1.
- inputs:
Dynamic Crop,Instance Segmentation Model,Byte Tracker,Byte Tracker,Detections Transformation,Segment Anything 2 Model,Path Deviation,Detections Consensus,Gaze Detection,Keypoint Detection Model,Detections Stabilizer,Line Counter,Detections Merge,Keypoint Detection Model,Instance Segmentation Model,Time in Zone,Detections Filter,VLM as Detector,Detections Classes Replacement,Dynamic Zone,Byte Tracker,Object Detection Model,Bounding Rectangle,Path Deviation,Perspective Correction,Detection Offset,Time in Zone,Google Vision OCR,YOLO-World Model,Template Matching,Detections Stitch,VLM as Detector,Object Detection Model,Velocity - outputs:
Color Visualization,Dynamic Crop,Byte Tracker,Detections Transformation,Blur Visualization,Background Color Visualization,Byte Tracker,Segment Anything 2 Model,Path Deviation,Detections Consensus,Line Counter,Dot Visualization,Model Monitoring Inference Aggregator,Detections Stabilizer,Stitch OCR Detections,Triangle Visualization,Detections Merge,Bounding Box Visualization,Size Measurement,Pixelate Visualization,Florence-2 Model,Time in Zone,Detections Filter,Model Comparison Visualization,Corner Visualization,Detections Classes Replacement,Roboflow Custom Metadata,Byte Tracker,Path Deviation,Perspective Correction,Florence-2 Model,Detection Offset,Time in Zone,Trace Visualization,Roboflow Dataset Upload,Line Counter,Roboflow Dataset Upload,Distance Measurement,Ellipse Visualization,Label Visualization,Detections Stitch,Circle Visualization,Velocity,Crop Visualization
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Detections Merge in version v1 has.
Bindings
-
input
predictions(Union[keypoint_detection_prediction,object_detection_prediction,instance_segmentation_prediction]): Object detection predictions to merge into a single bounding box..
-
output
predictions(object_detection_prediction): Prediction with detected bounding boxes in form of sv.Detections(...) object.
Example JSON definition of step Detections Merge in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/detections_merge@v1",
"predictions": "$steps.object_detection_model.predictions",
"class_name": "<block_does_not_provide_example>"
}