Seg Preview¶

Check what blocks you can connect to Seg Preview in version v1.

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

• 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.