Seg Preview

Class: SegPreviewBlockV1

Source: inference.core.workflows.core_steps.models.foundation.seg_preview.v1.SegPreviewBlockV1

Seg Preview

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
class_names	Union[List[str], str]	List of classes to recognise.	✅
threshold	float	Threshold for predicted mask scores.	✅

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 Seg Preview in version v1.

• inputs: Llama 3.2 Vision, Cosine Similarity, Blur Visualization, Dimension Collapse, Perspective Correction, Polygon Zone Visualization, Bounding Box Visualization, QR Code Generator, Pixelate Visualization, Trace Visualization, Roboflow Custom Metadata, Image Threshold, Polygon Visualization, Dynamic Crop, Icon Visualization, Image Slicer, Stability AI Outpainting, Model Comparison Visualization, Dynamic Zone, Clip Comparison, LMM, OpenAI, Classification Label Visualization, Stitch Images, Florence-2 Model, Mask Visualization, Single-Label Classification Model, Size Measurement, Relative Static Crop, Absolute Static Crop, SIFT Comparison, Google Gemini, Circle Visualization, Florence-2 Model, LMM For Classification, Ellipse Visualization, Image Convert Grayscale, Object Detection Model, OCR Model, Image Preprocessing, Color Visualization, Image Blur, Stability AI Image Generation, Anthropic Claude, Google Vision OCR, Keypoint Visualization, Camera Calibration, Local File Sink, EasyOCR, Image Slicer, Email Notification, VLM as Detector, Roboflow Dataset Upload, Gaze Detection, Background Color Visualization, Triangle Visualization, Slack Notification, Keypoint Detection Model, Halo Visualization, Corner Visualization, Google Gemini, Model Monitoring Inference Aggregator, Roboflow Dataset Upload, Dot Visualization, Image Contours, Multi-Label Classification Model, Twilio SMS Notification, Instance Segmentation Model, VLM as Classifier, CSV Formatter, Reference Path Visualization, Morphological Transformation, Motion Detection, OpenAI, Webhook Sink, Contrast Equalization, Camera Focus, Stitch OCR Detections, Stability AI Inpainting, CogVLM, Clip Comparison, Line Counter Visualization, Identify Changes, Email Notification, Crop Visualization, Grid Visualization, OpenAI, Buffer, SIFT, Depth Estimation, Background Subtraction, Label Visualization, Anthropic Claude, OpenAI
• outputs: Line Counter, Detections Consensus, Path Deviation, Model Monitoring Inference Aggregator, Roboflow Dataset Upload, Blur Visualization, Dot Visualization, Detections Merge, Perspective Correction, Byte Tracker, Bounding Box Visualization, Distance Measurement, Pixelate Visualization, Trace Visualization, Roboflow Custom Metadata, Velocity, Byte Tracker, Detections Transformation, PTZ Tracking (ONVIF).md), Segment Anything 2 Model, Polygon Visualization, Dynamic Crop, Icon Visualization, Detections Classes Replacement, Model Comparison Visualization, Dynamic Zone, Detections Stitch, Size Measurement, Mask Visualization, Florence-2 Model, Stability AI Inpainting, Time in Zone, Circle Visualization, Florence-2 Model, Path Deviation, Ellipse Visualization, Time in Zone, Crop Visualization, Color Visualization, Bounding Rectangle, Line Counter, Label Visualization, Detections Combine, Byte Tracker, Roboflow Dataset Upload, Overlap Filter, Triangle Visualization, Background Color Visualization, Detections Filter, Detection Offset, Time in Zone, Halo Visualization, Detections Stabilizer, Corner Visualization

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Seg Preview in version v1 has.

Bindings

• input

  • images (image): The image to infer on..
  • class_names (Union[list_of_values, string]): List of classes to recognise.
  • threshold (float): Threshold for predicted mask scores.

• output

  • predictions (instance_segmentation_prediction): Prediction with detected bounding boxes and segmentation masks in form of sv.Detections(...) object.

Example JSON definition of step Seg Preview in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/seg-preview@v1",
    "images": "$inputs.image",
    "class_names": [
        "car",
        "person"
    ],
    "threshold": 0.3
}