Detections Classes Replacement

Class: DetectionsClassesReplacementBlockV1

Source: inference.core.workflows.core_steps.fusion.detections_classes_replacement.v1.DetectionsClassesReplacementBlockV1

Combine results of detection model with classification results performed separately for each and every bounding box.

Bounding boxes without top class predicted by classification model are discarded, for multi-label classification results, most confident label is taken as bounding box class.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
fallback_class_name	str	The class name to be used as a fallback if no class is predicted for a bounding box.	✅
fallback_class_id	int	The class id to be used as a fallback if no class is predicted for a bounding box;if not specified or negative, the class id will be set to 9223372036854775807.	✅

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 Classes Replacement in version v1.

• inputs: Anthropic Claude, Email Notification, YOLO-World Model, Keypoint Detection Model, Single-Label Classification Model, Gaze Detection, LMM, Perspective Correction, Detections Consensus, Path Deviation, Moondream2, Bounding Rectangle, Model Monitoring Inference Aggregator, Time in Zone, Roboflow Dataset Upload, OpenAI, Pixel Color Count, Detections Filter, Detections Merge, Keypoint Detection Model, Byte Tracker, Segment Anything 2 Model, Slack Notification, Instance Segmentation Model, Detections Stitch, Instance Segmentation Model, Roboflow Dataset Upload, CogVLM, Detection Offset, OpenAI, Google Vision OCR, Dynamic Crop, Detections Classes Replacement, Twilio SMS Notification, Distance Measurement, Byte Tracker, Florence-2 Model, Detections Stabilizer, Detections Transformation, Template Matching, Time in Zone, Webhook Sink, SIFT Comparison, CSV Formatter, VLM as Detector, VLM as Detector, VLM as Classifier, Object Detection Model, Florence-2 Model, LMM For Classification, Google Gemini, OpenAI, PTZ Tracking (ONVIF).md), SIFT Comparison, Multi-Label Classification Model, Path Deviation, Dynamic Zone, Llama 3.2 Vision, Image Contours, Roboflow Custom Metadata, Line Counter, Line Counter, Stitch OCR Detections, VLM as Classifier, Multi-Label Classification Model, Single-Label Classification Model, OCR Model, Local File Sink, Velocity, Byte Tracker, Object Detection Model, Overlap Filter, Clip Comparison
• outputs: Blur Visualization, Triangle Visualization, Polygon Visualization, Trace Visualization, Size Measurement, Label Visualization, Distance Measurement, Perspective Correction, Model Monitoring Inference Aggregator, Path Deviation, Detections Consensus, Roboflow Dataset Upload, Bounding Rectangle, Time in Zone, Detections Filter, Detections Merge, Byte Tracker, Bounding Box Visualization, Segment Anything 2 Model, Roboflow Dataset Upload, Detections Stitch, Detection Offset, Detections Classes Replacement, Dynamic Crop, Halo Visualization, Byte Tracker, Background Color Visualization, Stability AI Inpainting, Detections Stabilizer, Detections Transformation, Florence-2 Model, Dot Visualization, Time in Zone, Circle Visualization, Keypoint Visualization, Florence-2 Model, PTZ Tracking (ONVIF).md), Path Deviation, Model Comparison Visualization, Dynamic Zone, Ellipse Visualization, Roboflow Custom Metadata, Line Counter, Stitch OCR Detections, Crop Visualization, Corner Visualization, Line Counter, Pixelate Visualization, Velocity, Byte Tracker, Mask Visualization, Overlap Filter, Color Visualization

Input and Output Bindings

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

Bindings

• input

  • object_detection_predictions (Union[object_detection_prediction, keypoint_detection_prediction, instance_segmentation_prediction]): The output of a detection model describing the bounding boxes that will have classes replaced..
  • classification_predictions (classification_prediction): The output of classification model for crops taken based on RoIs pointed as the other parameter.
  • fallback_class_name (string): The class name to be used as a fallback if no class is predicted for a bounding box.
  • fallback_class_id (integer): The class id to be used as a fallback if no class is predicted for a bounding box;if not specified or negative, the class id will be set to 9223372036854775807.

• output

  • predictions (Union[object_detection_prediction, instance_segmentation_prediction, keypoint_detection_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 or Prediction with detected bounding boxes and detected keypoints in form of sv.Detections(...) object if keypoint_detection_prediction.

Example JSON definition of step Detections Classes Replacement in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/detections_classes_replacement@v1",
    "object_detection_predictions": "$steps.my_object_detection_model.predictions",
    "classification_predictions": "$steps.my_classification_model.predictions",
    "fallback_class_name": "unknown",
    "fallback_class_id": 77
}