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@v1
to 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:
OpenAI
,Instance Segmentation Model
,Dynamic Crop
,Time in Zone
,Multi-Label Classification Model
,Roboflow Dataset Upload
,LMM
,Moondream2
,Google Gemini
,Keypoint Detection Model
,PTZ Tracking (ONVIF)
.md),Clip Comparison
,Google Vision OCR
,YOLO-World Model
,Keypoint Detection Model
,Time in Zone
,Single-Label Classification Model
,Email Notification
,Model Monitoring Inference Aggregator
,Multi-Label Classification Model
,Detections Consensus
,Line Counter
,OpenAI
,Detections Filter
,Path Deviation
,Velocity
,Time in Zone
,Path Deviation
,Dynamic Zone
,Florence-2 Model
,Roboflow Dataset Upload
,Perspective Correction
,Detections Transformation
,Object Detection Model
,Pixel Color Count
,Stitch OCR Detections
,CogVLM
,Llama 3.2 Vision
,SIFT Comparison
,Detections Stabilizer
,VLM as Detector
,Byte Tracker
,Single-Label Classification Model
,Florence-2 Model
,Line Counter
,Overlap Filter
,Local File Sink
,Byte Tracker
,Slack Notification
,SIFT Comparison
,Distance Measurement
,Detection Offset
,Detections Combine
,Roboflow Custom Metadata
,Gaze Detection
,Twilio SMS Notification
,VLM as Classifier
,Segment Anything 2 Model
,Anthropic Claude
,VLM as Detector
,Detections Stitch
,Byte Tracker
,Bounding Rectangle
,LMM For Classification
,Template Matching
,Detections Classes Replacement
,Instance Segmentation Model
,Image Contours
,OpenAI
,Object Detection Model
,OCR Model
,VLM as Classifier
,Detections Merge
,CSV Formatter
,Webhook Sink
,EasyOCR
- outputs:
Ellipse Visualization
,Detections Stabilizer
,Byte Tracker
,Dynamic Crop
,Time in Zone
,Roboflow Dataset Upload
,Color Visualization
,Corner Visualization
,Florence-2 Model
,Line Counter
,Overlap Filter
,Keypoint Visualization
,Distance Measurement
,Byte Tracker
,PTZ Tracking (ONVIF)
.md),Detection Offset
,Detections Combine
,Trace Visualization
,Roboflow Custom Metadata
,Background Color Visualization
,Time in Zone
,Model Comparison Visualization
,Segment Anything 2 Model
,Mask Visualization
,Model Monitoring Inference Aggregator
,Size Measurement
,Detections Stitch
,Byte Tracker
,Detections Consensus
,Polygon Visualization
,Stability AI Inpainting
,Line Counter
,Bounding Rectangle
,Dot Visualization
,Detections Filter
,Path Deviation
,Velocity
,Time in Zone
,Path Deviation
,Detections Classes Replacement
,Detections Transformation
,Circle Visualization
,Bounding Box Visualization
,Dynamic Zone
,Florence-2 Model
,Blur Visualization
,Halo Visualization
,Roboflow Dataset Upload
,Detections Merge
,Triangle Visualization
,Pixelate Visualization
,Perspective Correction
,Icon Visualization
,Label Visualization
,Stitch OCR Detections
,Crop 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.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 ifobject_detection_prediction
or Prediction with detected bounding boxes and segmentation masks in form of sv.Detections(...) object ifinstance_segmentation_prediction
or 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",
"fallback_class_name": "unknown",
"fallback_class_id": 77
}