Detections Transformation

Class: DetectionsTransformationBlockV1

Source: inference.core.workflows.core_steps.transformations.detections_transformation.v1.DetectionsTransformationBlockV1

Block changes detected Bounding Boxes in a way specified in configuration.

It supports such operations as changing the size of Bounding Boxes.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
operations	List[Union[ClassificationPropertyExtract, ConvertDictionaryToJSON, ConvertImageToBase64, ConvertImageToJPEG, DetectionsFilter, DetectionsOffset, DetectionsPropertyExtract, DetectionsRename, DetectionsSelection, DetectionsShift, DetectionsToDictionary, Divide, ExtractDetectionProperty, ExtractFrameMetadata, ExtractImageProperty, LookupTable, Multiply, NumberRound, NumericSequenceAggregate, PickDetectionsByParentClass, RandomNumber, SequenceAggregate, SequenceApply, SequenceElementsCount, SequenceLength, SequenceMap, SortDetections, StringMatches, StringSubSequence, StringToLowerCase, StringToUpperCase, TimestampToISOFormat, ToBoolean, ToNumber, ToString]]	Transformations to be applied on the predictions..	❌

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 Transformation in version v1.

• inputs: Anthropic Claude, Triangle Visualization, Distance Measurement, Roboflow Dataset Upload, Absolute Static Crop, Segment Anything 2 Model, QR Code Detection, SIFT, Identify Outliers, Byte Tracker, Detections Stabilizer, Detections Transformation, Keypoint Visualization, VLM as Detector, SIFT Comparison, Image Convert Grayscale, PTZ Tracking (ONVIF).md), Multi-Label Classification Model, Path Deviation, Model Comparison Visualization, Dynamic Zone, Perception Encoder Embedding Model, JSON Parser, Roboflow Custom Metadata, Image Slicer, Stitch OCR Detections, Crop Visualization, Corner Visualization, Multi-Label Classification Model, Pixelate Visualization, Velocity, Overlap Filter, Mask Visualization, Clip Comparison, Continue If, Keypoint Detection Model, Data Aggregator, Moondream2, Bounding Rectangle, Detections Filter, Bounding Box Visualization, Barcode Detection, Camera Focus, CogVLM, Instance Segmentation Model, Dynamic Crop, Halo Visualization, Florence-2 Model, Time in Zone, VLM as Detector, Florence-2 Model, LMM For Classification, Ellipse Visualization, First Non Empty Or Default, Llama 3.2 Vision, Line Counter, Clip Comparison, Single-Label Classification Model, Stitch Images, Environment Secrets Store, OCR Model, Byte Tracker, Object Detection Model, Property Definition, Blur Visualization, Dominant Color, YOLO-World Model, Trace Visualization, LMM, Label Visualization, Model Monitoring Inference Aggregator, Time in Zone, Pixel Color Count, Rate Limiter, Image Preprocessing, Keypoint Detection Model, Byte Tracker, Relative Static Crop, Image Threshold, Reference Path Visualization, Slack Notification, Stability AI Outpainting, Instance Segmentation Model, Roboflow Dataset Upload, Detection Offset, Google Vision OCR, Dimension Collapse, CLIP Embedding Model, Stability AI Inpainting, Background Color Visualization, CSV Formatter, Circle Visualization, Image Blur, Google Gemini, OpenAI, Line Counter Visualization, Expression, Line Counter, VLM as Classifier, Local File Sink, Image Slicer, Cache Set, VLM as Classifier, Color Visualization, Qwen2.5-VL, Polygon Visualization, Email Notification, Size Measurement, Gaze Detection, Single-Label Classification Model, Perspective Correction, Detections Consensus, Path Deviation, Camera Calibration, OpenAI, Detections Merge, Delta Filter, Buffer, SmolVLM2, Detections Stitch, Twilio SMS Notification, OpenAI, Detections Classes Replacement, Depth Estimation, Dot Visualization, Template Matching, Classification Label Visualization, Webhook Sink, SIFT Comparison, Stability AI Image Generation, Object Detection Model, Image Contours, Identify Changes, Grid Visualization, Cosine Similarity, Cache Get, Polygon Zone Visualization
• 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 Transformation in version v1 has.

Bindings

• input

  • predictions (Union[object_detection_prediction, keypoint_detection_prediction, instance_segmentation_prediction]): Model predictions to transform..
  • operations_parameters (*): References to additional parameters that may be provided in runtime to parameterize operations.

• 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 Transformation in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/detections_transformation@v1",
    "predictions": "$steps.object_detection_model.predictions",
    "operations": [
        {
            "filter_operation": {
                "statements": [
                    {
                        "comparator": {
                            "type": "in (Sequence)"
                        },
                        "left_operand": {
                            "operations": [
                                {
                                    "property_name": "class_name",
                                    "type": "ExtractDetectionProperty"
                                }
                            ],
                            "type": "DynamicOperand"
                        },
                        "right_operand": {
                            "operand_name": "classes",
                            "type": "DynamicOperand"
                        },
                        "type": "BinaryStatement"
                    }
                ],
                "type": "StatementGroup"
            },
            "type": "DetectionsFilter"
        }
    ],
    "operations_parameters": {
        "classes": "$inputs.classes"
    }
}