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

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, instance_segmentation_prediction, keypoint_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"
    }
}