Detections Combine

Class: DetectionsCombineBlockV1

Source: inference.core.workflows.core_steps.transformations.detections_combine.v1.DetectionsCombineBlockV1

This block combines two sets of predictions into a single set of predictions.

Type identifier

Use the following identifier in step "type" field: roboflow_core/detections_combine@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌

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 Combine in version v1.

• inputs: Detections Filter, Dynamic Crop, VLM as Detector, Moondream2, Byte Tracker, Segment Anything 2 Model, Detections Consensus, Instance Segmentation Model, Google Vision OCR, Time in Zone, Detections Combine, Time in Zone, PTZ Tracking (ONVIF).md), Byte Tracker, VLM as Detector, Perspective Correction, Path Deviation, Overlap Filter, Bounding Rectangle, Line Counter, Dynamic Zone, Detections Merge, YOLO-World Model, Detections Classes Replacement, OCR Model, Detections Stabilizer, Object Detection Model, Detections Stitch, Instance Segmentation Model, Detections Transformation, Path Deviation, Detection Offset, Velocity, Object Detection Model, EasyOCR, Byte Tracker, Time in Zone, Template Matching
• outputs: Roboflow Custom Metadata, Size Measurement, Pixelate Visualization, Blur Visualization, Detections Filter, Dynamic Crop, Crop Visualization, Byte Tracker, Segment Anything 2 Model, Detections Consensus, Time in Zone, Detections Combine, Polygon Visualization, Dot Visualization, Florence-2 Model, Time in Zone, Roboflow Dataset Upload, PTZ Tracking (ONVIF).md), Background Color Visualization, Distance Measurement, Byte Tracker, Perspective Correction, Path Deviation, Roboflow Dataset Upload, Corner Visualization, Overlap Filter, Line Counter, Bounding Rectangle, Dynamic Zone, Halo Visualization, Detections Merge, Mask Visualization, Detections Classes Replacement, Trace Visualization, Stitch OCR Detections, Detections Stabilizer, Circle Visualization, Model Monitoring Inference Aggregator, Icon Visualization, Color Visualization, Stability AI Inpainting, Florence-2 Model, Bounding Box Visualization, Detections Stitch, Ellipse Visualization, Detections Transformation, Path Deviation, Detection Offset, Velocity, Model Comparison Visualization, Label Visualization, Byte Tracker, Time in Zone, Triangle Visualization, Line Counter

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Detections Combine in version v1 has.

Bindings

• input

  • prediction_one (Union[instance_segmentation_prediction, object_detection_prediction]): First set of predictions..
  • prediction_two (Union[instance_segmentation_prediction, object_detection_prediction]): Second set of predictions..

• output

  • predictions (Union[object_detection_prediction, instance_segmentation_prediction]): Prediction with detected bounding boxes in form of sv.Detections(...) object if object_detection_prediction or Prediction with detected bounding boxes and segmentation masks in form of sv.Detections(...) object if instance_segmentation_prediction.

Example JSON definition of step Detections Combine in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/detections_combine@v1",
    "prediction_one": "$steps.my_object_detection_model.predictions",
    "prediction_two": "$steps.my_object_detection_model.predictions"
}