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:
Segment Anything 2 Model,Detections Filter,Clip Comparison,Perspective Correction,Object Detection Model,Path Deviation,Detections Consensus,Object Detection Model,VLM as Classifier,Detection Offset,Keypoint Detection Model,VLM as Detector,Multi-Label Classification Model,Byte Tracker,Velocity,Keypoint Detection Model,Multi-Label Classification Model,VLM as Detector,Google Vision OCR,Bounding Rectangle,Gaze Detection,VLM as Classifier,Single-Label Classification Model,Byte Tracker,Byte Tracker,Detections Stabilizer,Template Matching,Dynamic Zone,Detections Transformation,Detections Stitch,Time in Zone,Path Deviation,Single-Label Classification Model,YOLO-World Model,Line Counter,Instance Segmentation Model,Time in Zone,Instance Segmentation Model,Detections Classes Replacement - outputs:
Segment Anything 2 Model,Detections Filter,Stitch OCR Detections,Stability AI Inpainting,Pixelate Visualization,Perspective Correction,Path Deviation,Roboflow Custom Metadata,Detections Consensus,Detection Offset,Roboflow Dataset Upload,Ellipse Visualization,Model Comparison Visualization,Halo Visualization,Crop Visualization,Byte Tracker,Trace Visualization,Distance Measurement,Circle Visualization,Velocity,Dot Visualization,Background Color Visualization,Bounding Rectangle,Roboflow Dataset Upload,Size Measurement,Florence-2 Model,Byte Tracker,Corner Visualization,Bounding Box Visualization,Florence-2 Model,Byte Tracker,Dynamic Crop,Line Counter,Detections Stabilizer,Label Visualization,Mask Visualization,Triangle Visualization,Dynamic Zone,Detections Transformation,Detections Stitch,Keypoint Visualization,Model Monitoring Inference Aggregator,Time in Zone,Color Visualization,Path Deviation,Blur Visualization,Line Counter,Time in Zone,Detections Classes Replacement,Polygon 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[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"
}