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

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, instance_segmentation_prediction, keypoint_detection_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"
    }
}