Image Preprocessing

Class: ImagePreprocessingBlockV1

Source: inference.core.workflows.core_steps.classical_cv.image_preprocessing.v1.ImagePreprocessingBlockV1

Apply a resize, flip, or rotation step to an image.

Width and height are required for resizing. Degrees are required for rotating. Flip type is required for flipping.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
task_type	str	Preprocessing task to be applied to the image..	❌
width	int	Width of the image to be resized to..	✅
height	int	Height of the image to be resized to..	✅
rotation_degrees	int	Positive value to rotate clockwise, negative value to rotate counterclockwise.	✅
flip_type	str	Type of flip to be applied to the image..	✅

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 Preprocessing in version v1.

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

Input and Output Bindings

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

Bindings

• input

  • image (image): The input image for this step..
  • width (integer): Width of the image to be resized to..
  • height (integer): Height of the image to be resized to..
  • rotation_degrees (integer): Positive value to rotate clockwise, negative value to rotate counterclockwise.
  • flip_type (string): Type of flip to be applied to the image..

• output

  • image (image): Image in workflows.

Example JSON definition of step Image Preprocessing in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/image_preprocessing@v1",
    "image": "$inputs.image",
    "task_type": "<block_does_not_provide_example>",
    "width": 640,
    "height": 640,
    "rotation_degrees": 90,
    "flip_type": "vertical"
}