SixDRepNet
Head pose estimation using 6D rotation representation and RepVGG backbone.
6DRepNet predicts head pose (pitch, yaw, roll) from a face image using a RepVGG‑B1g2 backbone and a continuous 6D rotation representation, achieving robust and accurate head pose estimation.
Not supported
This model is currently not supported on any All Models chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution:224x224
Number of parameters:15.3M
Model size (float):58.4 MB
Applicable Scenarios
- Driver Monitoring
- Augmented Reality
- Attention Tracking
Supported Form Factors
- Phone
- Tablet
- IoT
License
Model:MIT
Tags
- real-time
Supported Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8275 (Proxy)
- QCS8450 (Proxy)
- QCS8550 (Proxy)
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy S25
- Samsung Galaxy S25 Ultra
- Samsung Galaxy S25+
- Samsung Galaxy Tab S8
- Snapdragon 8 Elite Gen 5 QRD
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
- Xiaomi 12
- Xiaomi 12 Pro
- XR2 Gen 2 (Proxy)
Supported Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
- Qualcomm® SA7255P
- Qualcomm® SA8295P
- Qualcomm® SA8775P
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Elite Gen 5 Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers