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

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[object_detection_prediction, instance_segmentation_prediction]): First set of predictions..
  • prediction_two (Union[object_detection_prediction, instance_segmentation_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"
}