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