Image Blur

Class: ImageBlurBlockV1

Source: inference.core.workflows.core_steps.classical_cv.image_blur.v1.ImageBlurBlockV1

Apply a blur to an image. The blur type and kernel size can be specified.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
blur_type	str	Type of Blur to perform on image..	✅
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 Image Blur in version v1.

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

Input and Output Bindings

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

Bindings

• input

  • image (image): The input image for this step..
  • blur_type (string): Type of Blur to perform on image..
  • kernel_size (integer): Size of the average pooling kernel used for blurring..

• output

  • image (image): Image in workflows.

Example JSON definition of step Image Blur in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/image_blur@v1",
    "image": "$inputs.image",
    "blur_type": "average",
    "kernel_size": 5
}