3D-Deep-BOX
Real‑time 3D object detection.
3D Deep Box is a machine learning model that predicts 3D bounding boxes and classes of objects in an image.
Technical Details
Model checkpoint:YOLOv3-tiny
Input resolution(YOLO):224x640
Input resolution(VGG):224x224
Number of parameters (Yolo2DDetection):9.78M
Model size (Yolo2DDetection) (float):37.3 MB
Number of parameters (VGG3DDetection):46.1M
Model size (VGG3DDetection) (float):176 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI-HUB-MODELS-LICENSE
Tags
- real-time
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
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