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:
Local File Sink,Background Color Visualization,Bounding Box Visualization,Roboflow Dataset Upload,Polygon Zone Visualization,Line Counter Visualization,Ellipse Visualization,Image Preprocessing,Triangle Visualization,SIFT Comparison,Absolute Static Crop,Camera Focus,Stability AI Outpainting,Heatmap Visualization,Mask Visualization,Text Display,VLM As Detector,Image Slicer,Label Visualization,Stitch Images,Roboflow Custom Metadata,Image Contours,PTZ Tracking (ONVIF),Email Notification,Blur Visualization,Icon Visualization,Stability AI Image Generation,Image Convert Grayscale,Background Subtraction,QR Code Generator,Crop Visualization,Webhook Sink,Corner Visualization,Twilio SMS Notification,S3 Sink,Polygon Visualization,Model Monitoring Inference Aggregator,SIFT,VLM As Classifier,Circle Visualization,Relative Static Crop,Polygon Visualization,Slack Notification,Trace Visualization,Camera Calibration,Camera Focus,Pixelate Visualization,Identify Changes,Stability AI Inpainting,Reference Path Visualization,Keypoint Visualization,Contrast Equalization,Twilio SMS/MMS Notification,Classification Label Visualization,Dot Visualization,Identify Outliers,Color Visualization,Dynamic Crop,Halo Visualization,Dynamic Zone,Image Threshold,Perspective Correction,JSON Parser,Grid Visualization,Morphological Transformation,SIFT Comparison,Email Notification,Depth Estimation,VLM As Classifier,Image Slicer,Detections Consensus,Model Comparison Visualization,Image Blur,VLM As Detector,Halo Visualization,Roboflow Dataset Upload,Motion Detection - outputs:
Background Color Visualization,Bounding Box Visualization,Roboflow Dataset Upload,Line Counter Visualization,Ellipse Visualization,Triangle Visualization,SAM 3,Florence-2 Model,Segment Anything 2 Model,Llama 3.2 Vision,Heatmap Visualization,Anthropic Claude,Text Display,Detection Event Log,SORT Tracker,Label Visualization,OC-SORT Tracker,Florence-2 Model,Roboflow Custom Metadata,PTZ Tracking (ONVIF),OpenAI,Blur Visualization,Icon Visualization,Anthropic Claude,Velocity,SAM 3,Google Gemini,Distance Measurement,Google Gemini,Mask Area Measurement,Crop Visualization,Webhook Sink,OpenAI,Corner Visualization,SAM 3,Stitch OCR Detections,Detection Offset,Detections Transformation,Model Monitoring Inference Aggregator,Circle Visualization,Byte Tracker,Trace Visualization,Camera Calibration,OpenAI,Pixelate Visualization,Detections Filter,Keypoint Visualization,Detections Merge,Dot Visualization,Color Visualization,Dynamic Crop,Dynamic Zone,Continue If,Anthropic Claude,Detections Classes Replacement,Detections List Roll-Up,Template Matching,Detections Consensus,Model Comparison Visualization,Google Gemini,Seg Preview,ByteTrack Tracker,Roboflow Dataset Upload
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>"
}