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.. | โ |
class_names |
Union[List[str], str] |
List of classes to recognise. | โ |
threshold |
float |
Threshold for predicted mask scores. | โ |
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:
Stitch Images,Image Threshold,Email Notification,Corner Visualization,Image Blur,Ellipse Visualization,OpenAI,Roboflow Dataset Upload,Object Detection Model,Depth Estimation,Stitch OCR Detections,Dimension Collapse,Absolute Static Crop,EasyOCR,Gaze Detection,CogVLM,Google Gemini,Stability AI Image Generation,Grid Visualization,Dynamic Crop,Image Slicer,Image Preprocessing,Relative Static Crop,SIFT,Morphological Transformation,Instance Segmentation Model,Line Counter Visualization,Trace Visualization,LMM For Classification,Halo Visualization,Dot Visualization,GLM-OCR,Model Monitoring Inference Aggregator,Roboflow Custom Metadata,Pixelate Visualization,Circle Visualization,Image Convert Grayscale,Icon Visualization,QR Code Generator,S3 Sink,Keypoint Detection Model,Twilio SMS Notification,Halo Visualization,Camera Focus,Anthropic Claude,OCR Model,Polygon Visualization,Text Display,Reference Path Visualization,Cosine Similarity,Identify Changes,Llama 3.2 Vision,CSV Formatter,Crop Visualization,Roboflow Dataset Upload,Mask Visualization,Heatmap Visualization,Webhook Sink,Label Visualization,Classification Label Visualization,Detections List Roll-Up,Google Vision OCR,Florence-2 Model,Florence-2 Model,VLM As Detector,Polygon Zone Visualization,Stability AI Inpainting,Google Gemini,Perspective Correction,Camera Calibration,Anthropic Claude,OpenAI,OpenAI,Qwen3.5-VL,Background Color Visualization,Anthropic Claude,Size Measurement,Email Notification,Background Subtraction,Contrast Equalization,SIFT Comparison,Multi-Label Classification Model,Keypoint Visualization,Stitch OCR Detections,LMM,Color Visualization,Motion Detection,Dynamic Zone,Single-Label Classification Model,OpenAI,Roboflow Vision Events,Local File Sink,VLM As Classifier,Clip Comparison,Twilio SMS/MMS Notification,Buffer,Triangle Visualization,Clip Comparison,Blur Visualization,Bounding Box Visualization,Camera Focus,Polygon Visualization,Google Gemini,Image Slicer,Image Contours,Model Comparison Visualization,Stability AI Outpainting,Slack Notification - outputs:
Corner Visualization,Ellipse Visualization,Roboflow Dataset Upload,Time in Zone,Time in Zone,Dynamic Crop,Velocity,Detections Combine,Trace Visualization,Detection Event Log,Halo Visualization,Dot Visualization,ByteTrack Tracker,Model Monitoring Inference Aggregator,Roboflow Custom Metadata,Pixelate Visualization,Circle Visualization,Icon Visualization,Detections Classes Replacement,Detections Stabilizer,Halo Visualization,Camera Focus,OC-SORT Tracker,Polygon Visualization,Detections Consensus,Crop Visualization,Roboflow Dataset Upload,Mask Visualization,Detection Offset,SORT Tracker,Heatmap Visualization,Byte Tracker,Byte Tracker,Label Visualization,Detections List Roll-Up,Florence-2 Model,Segment Anything 2 Model,Florence-2 Model,Stability AI Inpainting,Overlap Filter,Perspective Correction,Distance Measurement,PTZ Tracking (ONVIF),Bounding Rectangle,Background Color Visualization,Size Measurement,Time in Zone,Line Counter,Path Deviation,Detections Filter,Detections Merge,Detections Transformation,Byte Tracker,Line Counter,Color Visualization,Dynamic Zone,Roboflow Vision Events,Mask Area Measurement,Detections Stitch,Triangle Visualization,Blur Visualization,Bounding Box Visualization,Polygon Visualization,Path Deviation,Model Comparison 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
}