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

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[keypoint_detection_prediction, instance_segmentation_prediction, object_detection_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"
    }
}