Blur Visualization

Class: BlurVisualizationBlockV1

Source: inference.core.workflows.core_steps.visualizations.blur.v1.BlurVisualizationBlockV1

The BlurVisualization block blurs detected objects in an image using Supervision's sv.BlurAnnotator.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
copy_image	bool	Enable this option to create a copy of the input image for visualization, preserving the original. Use this when stacking multiple visualizations..	✅
kernel_size	int	Size of the average pooling kernel used for blurring..	✅

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 Blur Visualization in version v1.

• inputs: Detections Stitch, Detections Combine, Seg Preview, QR Code Generator, Byte Tracker, YOLO-World Model, Image Convert Grayscale, Velocity, Dynamic Crop, SIFT Comparison, Blur Visualization, Detection Offset, SIFT, Bounding Box Visualization, Stability AI Outpainting, Identify Changes, Camera Focus, Slack Notification, Keypoint Visualization, Trace Visualization, Instance Segmentation Model, Polygon Visualization, Pixel Color Count, Ellipse Visualization, Model Comparison Visualization, Local File Sink, Triangle Visualization, Polygon Zone Visualization, SAM 3, Halo Visualization, Distance Measurement, Byte Tracker, Stability AI Image Generation, Time in Zone, Path Deviation, VLM as Detector, Circle Visualization, Email Notification, Detections Stabilizer, Google Vision OCR, Motion Detection, Camera Focus, Detections Classes Replacement, Detections Filter, Object Detection Model, Instance Segmentation Model, Perspective Correction, EasyOCR, VLM as Classifier, Reference Path Visualization, Corner Visualization, Color Visualization, Twilio SMS/MMS Notification, Image Slicer, Camera Calibration, Image Blur, Line Counter, VLM as Detector, Detections Transformation, SAM 3, Dot Visualization, Roboflow Custom Metadata, Image Threshold, Model Monitoring Inference Aggregator, Object Detection Model, Morphological Transformation, Label Visualization, Background Color Visualization, Classification Label Visualization, OCR Model, Time in Zone, Byte Tracker, Roboflow Dataset Upload, Keypoint Detection Model, Path Deviation, Mask Visualization, Dynamic Zone, Detections List Roll-Up, Pixelate Visualization, Absolute Static Crop, PTZ Tracking (ONVIF).md), Keypoint Detection Model, Line Counter, Detections Consensus, Moondream2, Webhook Sink, Grid Visualization, Contrast Equalization, Image Preprocessing, Relative Static Crop, Stability AI Inpainting, Image Contours, Line Counter Visualization, Stitch Images, JSON Parser, Crop Visualization, Template Matching, Bounding Rectangle, Icon Visualization, SIFT Comparison, Gaze Detection, Depth Estimation, Twilio SMS Notification, VLM as Classifier, Time in Zone, Background Subtraction, Detections Merge, Identify Outliers, SAM 3, Segment Anything 2 Model, Image Slicer, Roboflow Dataset Upload, Overlap Filter, Email Notification
• outputs: Detections Stitch, Seg Preview, Byte Tracker, Qwen3-VL, YOLO-World Model, Google Gemini, Image Convert Grayscale, QR Code Detection, Dynamic Crop, Blur Visualization, SIFT, Stability AI Outpainting, Bounding Box Visualization, Camera Focus, Keypoint Visualization, Trace Visualization, Instance Segmentation Model, Polygon Visualization, Dominant Color, Pixel Color Count, Ellipse Visualization, OpenAI, Model Comparison Visualization, Anthropic Claude, Triangle Visualization, Qwen2.5-VL, SAM 3, Polygon Zone Visualization, Halo Visualization, LMM, Stability AI Image Generation, Time in Zone, VLM as Detector, Florence-2 Model, CLIP Embedding Model, Single-Label Classification Model, Detections Stabilizer, Email Notification, Circle Visualization, Google Vision OCR, Google Gemini, Motion Detection, Clip Comparison, Camera Focus, Anthropic Claude, Object Detection Model, Instance Segmentation Model, Perspective Correction, Perception Encoder Embedding Model, VLM as Classifier, Reference Path Visualization, Corner Visualization, Color Visualization, Twilio SMS/MMS Notification, EasyOCR, Multi-Label Classification Model, Image Slicer, OpenAI, Image Blur, Buffer, Camera Calibration, SmolVLM2, VLM as Detector, SAM 3, Dot Visualization, Image Threshold, Morphological Transformation, Label Visualization, Background Color Visualization, OCR Model, Classification Label Visualization, Roboflow Dataset Upload, Keypoint Detection Model, Mask Visualization, Pixelate Visualization, Absolute Static Crop, Keypoint Detection Model, Moondream2, Image Preprocessing, Contrast Equalization, Google Gemini, Stability AI Inpainting, Barcode Detection, Template Matching, Line Counter Visualization, OpenAI, Image Contours, Crop Visualization, Relative Static Crop, Stitch Images, OpenAI, Llama 3.2 Vision, Icon Visualization, Clip Comparison, SIFT Comparison, Gaze Detection, Depth Estimation, Single-Label Classification Model, VLM as Classifier, Florence-2 Model, Background Subtraction, LMM For Classification, SAM 3, Object Detection Model, Multi-Label Classification Model, Segment Anything 2 Model, CogVLM, Image Slicer, Roboflow Dataset Upload

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Blur Visualization in version v1 has.

Bindings

• input

  • image (image): The image to visualize on..
  • copy_image (boolean): Enable this option to create a copy of the input image for visualization, preserving the original. Use this when stacking multiple visualizations..
  • predictions (Union[keypoint_detection_prediction, instance_segmentation_prediction, object_detection_prediction, rle_instance_segmentation_prediction]): Model predictions to visualize..
  • kernel_size (integer): Size of the average pooling kernel used for blurring..

• output

  • image (image): Image in workflows.

Example JSON definition of step Blur Visualization in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/blur_visualization@v1",
    "image": "$inputs.image",
    "copy_image": true,
    "predictions": "$steps.object_detection_model.predictions",
    "kernel_size": 15
}