Detections Classes Replacement¶
Class: 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.. | ❌ |
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:
Time in Zone,Detections Stitch,Path Deviation,Detection Offset,Multi-Label Classification Model,Clip Comparison,VLM as Classifier,Keypoint Detection Model,Instance Segmentation Model,Gaze Detection,Instance Segmentation Model,Keypoint Detection Model,Segment Anything 2 Model,Single-Label Classification Model,Object Detection Model,Object Detection Model,Perspective Correction,Byte Tracker,Time in Zone,Line Counter,Single-Label Classification Model,Detections Stabilizer,Detections Filter,YOLO-World Model,Path Deviation,VLM as Detector,Byte Tracker,VLM as Classifier,Multi-Label Classification Model,VLM as Detector,Google Vision OCR,Detections Consensus,Bounding Rectangle,Byte Tracker,Detections Transformation,Detections Classes Replacement,Template Matching - outputs:
Time in Zone,Florence-2 Model,Path Deviation,Pixelate Visualization,Detections Stitch,Line Counter,Corner Visualization,Blur Visualization,Mask Visualization,Perspective Correction,Line Counter,Detections Filter,Model Monitoring Inference Aggregator,Polygon Visualization,Halo Visualization,Trace Visualization,Model Comparison Visualization,Size Measurement,Detections Consensus,Byte Tracker,Roboflow Custom Metadata,Keypoint Visualization,Detections Classes Replacement,Crop Visualization,Detection Offset,Roboflow Dataset Upload,Roboflow Dataset Upload,Stitch OCR Detections,Dynamic Zone,Dot Visualization,Circle Visualization,Background Color Visualization,Segment Anything 2 Model,Bounding Box Visualization,Ellipse Visualization,Label Visualization,Byte Tracker,Time in Zone,Florence-2 Model,Stability AI Inpainting,Detections Stabilizer,Path Deviation,Dynamic Crop,Byte Tracker,Triangle Visualization,Color Visualization,Bounding Rectangle,Detections Transformation,Distance Measurement
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[instance_segmentation_prediction,keypoint_detection_prediction,object_detection_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.
-
output
predictions(Union[object_detection_prediction,instance_segmentation_prediction,keypoint_detection_prediction]): Prediction with detected bounding boxes in form of sv.Detections(...) object ifobject_detection_predictionor Prediction with detected bounding boxes and segmentation masks in form of sv.Detections(...) object ifinstance_segmentation_predictionor Prediction with detected bounding boxes and detected keypoints in form of sv.Detections(...) object ifkeypoint_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"
}