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:
Stability AI Outpainting,OpenAI-Compatible LLM,Morphological Transformation,Motion Detection,Contrast Enhancement,Crop Visualization,Camera Focus,Blur Visualization,Image Preprocessing,Corner Visualization,Ellipse Visualization,Mask Visualization,Stability AI Image Generation,Qwen-VL,Object Detection Model,Heatmap Visualization,Stitch OCR Detections,Google Gemma API,Roboflow Vision Events,Image Slicer,Qwen 3.5 API,Trace Visualization,Background Color Visualization,Slack Notification,Anthropic Claude,Dimension Collapse,Qwen 3.6 API,OpenAI,Webhook Sink,Email Notification,Color Visualization,Bounding Box Visualization,Keypoint Visualization,Model Comparison Visualization,Google Gemma,Relative Static Crop,Llama 3.2 Vision,CogVLM,Polygon Zone Visualization,Qwen3.5-VL,Dynamic Crop,Camera Focus,Polygon Visualization,QR Code Generator,Google Vision OCR,GLM-OCR,Stitch Images,Google Gemini,Llama 3.2 Vision,OpenRouter,Twilio SMS Notification,Image Blur,Clip Comparison,Dynamic Zone,Model Monitoring Inference Aggregator,Anthropic Claude,Image Slicer,Depth Estimation,OpenAI,Detections List Roll-Up,Multi-Label Classification Model,Gaze Detection,Buffer,Google Gemini,Classification Label Visualization,Pixelate Visualization,EasyOCR,SIFT,Florence-2 Model,MoonshotAI Kimi,Contrast Equalization,Image Threshold,Instance Segmentation Model,MoonshotAI Kimi,Dot Visualization,Polygon Visualization,Background Subtraction,Roboflow Dataset Upload,Anthropic Claude,Halo Visualization,Stability AI Inpainting,Roboflow Custom Metadata,Florence-2 Model,Label Visualization,Local File Sink,Icon Visualization,Single-Label Classification Model,Image Contours,OpenAI,Absolute Static Crop,Google Gemini,Grid Visualization,VLM As Classifier,Camera Calibration,Halo Visualization,Email Notification,Cosine Similarity,Size Measurement,OpenAI,Clip Comparison,LMM,LMM For Classification,Text Display,Image Convert Grayscale,Reference Path Visualization,Circle Visualization,Line Counter Visualization,Stitch OCR Detections,OCR Model,Keypoint Detection Model,SIFT Comparison,VLM As Detector,Image Stack,Identify Changes,Morphological Transformation,Twilio SMS/MMS Notification,Roboflow Dataset Upload,CSV Formatter,S3 Sink,Triangle Visualization,Perspective Correction - outputs:
BoT-SORT Tracker,Crop Visualization,Mask Visualization,Camera Focus,Blur Visualization,Corner Visualization,Ellipse Visualization,Roboflow Vision Events,Velocity,Heatmap Visualization,Trace Visualization,Path Deviation,OC-SORT Tracker,Background Color Visualization,Time in Zone,Color Visualization,Byte Tracker,Bounding Box Visualization,Detections Consensus,Model Comparison Visualization,Detection Event Log,Bounding Rectangle,Path Deviation,Byte Tracker,Dynamic Crop,Polygon Visualization,Distance Measurement,SORT Tracker,Detections Stabilizer,Dynamic Zone,Model Monitoring Inference Aggregator,Detections Stitch,Time in Zone,Detections List Roll-Up,Segment Anything 2 Model,Pixelate Visualization,PTZ Tracking (ONVIF),Florence-2 Model,Time in Zone,Line Counter,Dot Visualization,Polygon Visualization,Roboflow Dataset Upload,Halo Visualization,Per-Class Confidence Filter,Stability AI Inpainting,Roboflow Custom Metadata,Line Counter,Detections Classes Replacement,Florence-2 Model,Label Visualization,Icon Visualization,Detection Offset,Overlap Filter,Detections Merge,SAM2 Video Tracker,Detections Filter,ByteTrack Tracker,Halo Visualization,Size Measurement,Detections Transformation,Mask Area Measurement,Circle Visualization,Byte Tracker,Detections Combine,Overlap Analysis,Roboflow Dataset Upload,Mask Edge Snap,Triangle Visualization,Perspective Correction
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
}