Detections Filter

Class: DetectionsFilterBlockV1

Source: inference.core.workflows.core_steps.transformations.detections_filter.v1.DetectionsFilterBlockV1

Conditionally filter out model predictions.

Type identifier

Use the following identifier in step "type" field: roboflow_core/detections_filter@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]]	Definition of filtering logic..	❌

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 Filter in version v1.

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

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Detections Filter in version v1 has.

Bindings

• input

  • predictions (Union[object_detection_prediction, keypoint_detection_prediction, instance_segmentation_prediction]): Model predictions to filter..
  • operations_parameters (*): References to additional parameters that may be provided in runtime to parametrise 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 Filter in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/detections_filter@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"
    }
}