Image Convert Grayscale

Class: ConvertGrayscaleBlockV1

Source: inference.core.workflows.core_steps.classical_cv.convert_grayscale.v1.ConvertGrayscaleBlockV1

Block to convert an RGB image to grayscale. The output image will have only one channel.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌

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 Convert Grayscale in version v1.

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

Input and Output Bindings

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

Bindings

• input

  • image (image): The input image for this step..

• output

  • image (image): Image in workflows.

Example JSON definition of step Image Convert Grayscale in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/convert_grayscale@v1",
    "image": "$inputs.image"
}