Gaze Detection¶
Class: GazeBlockV1
Source: inference.core.workflows.core_steps.models.foundation.gaze.v1.GazeBlockV1
Run L2CS Gaze detection model on faces in images.
This block can: 1. Detect faces in images and estimate their gaze direction 2. Estimate gaze direction on pre-cropped face images
The gaze direction is represented by yaw and pitch angles in degrees.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/gaze@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
do_run_face_detection |
bool |
Whether to run face detection. Set to False if input images are pre-cropped face images.. | ✅ |
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 Gaze Detection in version v1.
- inputs:
Stitch Images,Image Threshold,Email Notification,Corner Visualization,Image Blur,Ellipse Visualization,Roboflow Dataset Upload,Depth Estimation,Absolute Static Crop,JSON Parser,Stability AI Image Generation,Grid Visualization,Dynamic Crop,Image Slicer,Image Preprocessing,Relative Static Crop,SIFT,Morphological Transformation,Line Counter Visualization,Trace Visualization,Halo Visualization,Dot Visualization,Model Monitoring Inference Aggregator,Roboflow Custom Metadata,Pixelate Visualization,Circle Visualization,Image Convert Grayscale,Icon Visualization,QR Code Generator,S3 Sink,Twilio SMS Notification,Halo Visualization,Camera Focus,SIFT Comparison,Polygon Visualization,Text Display,Detections Consensus,Reference Path Visualization,Identify Changes,Crop Visualization,Roboflow Dataset Upload,Mask Visualization,Heatmap Visualization,Webhook Sink,Label Visualization,Classification Label Visualization,VLM As Detector,Polygon Zone Visualization,Stability AI Inpainting,VLM As Classifier,Perspective Correction,Camera Calibration,VLM As Detector,PTZ Tracking (ONVIF),Background Color Visualization,Email Notification,Background Subtraction,Contrast Equalization,SIFT Comparison,Keypoint Visualization,Identify Outliers,Color Visualization,Motion Detection,Dynamic Zone,Roboflow Vision Events,Local File Sink,VLM As Classifier,Twilio SMS/MMS Notification,Triangle Visualization,Blur Visualization,Bounding Box Visualization,Camera Focus,Polygon Visualization,Image Slicer,Image Contours,Model Comparison Visualization,Stability AI Outpainting,Slack Notification - outputs:
Corner Visualization,Ellipse Visualization,OpenAI,Roboflow Dataset Upload,Stitch OCR Detections,Google Gemini,Continue If,Dynamic Crop,Velocity,Line Counter Visualization,Trace Visualization,Detection Event Log,Dot Visualization,ByteTrack Tracker,Model Monitoring Inference Aggregator,Roboflow Custom Metadata,Pixelate Visualization,Circle Visualization,Icon Visualization,Detections Classes Replacement,Anthropic Claude,SAM 3,OC-SORT Tracker,Detections Consensus,Text Display,Llama 3.2 Vision,Crop Visualization,Roboflow Dataset Upload,Detection Offset,SORT Tracker,Heatmap Visualization,Webhook Sink,Byte Tracker,Label Visualization,Detections List Roll-Up,Florence-2 Model,Segment Anything 2 Model,Florence-2 Model,Google Gemini,SAM 3,Camera Calibration,Anthropic Claude,OpenAI,OpenAI,PTZ Tracking (ONVIF),Background Color Visualization,Template Matching,Anthropic Claude,Keypoint Visualization,Detections Filter,Detections Merge,Detections Transformation,SAM 3,Color Visualization,Dynamic Zone,Seg Preview,Roboflow Vision Events,Mask Area Measurement,Triangle Visualization,Blur Visualization,Bounding Box Visualization,Distance Measurement,Google Gemini,Model Comparison Visualization
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Gaze Detection in version v1 has.
Bindings
-
input
-
output
face_predictions(keypoint_detection_prediction): Prediction with detected bounding boxes and detected keypoints in form of sv.Detections(...) object.yaw_degrees(float): Float value.pitch_degrees(float): Float value.
Example JSON definition of step Gaze Detection in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/gaze@v1",
"images": "$inputs.image",
"do_run_face_detection": "<block_does_not_provide_example>"
}