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.
Not supported
This model is currently not supported on any Automotive chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Model checkpoint:YOLOv3-tiny
Input resolution(YOLO):224x640
Input resolution(VGG):224x224
Number of parameters (yolo_2d_detection):9.78M
Model size (yolo_2d_detection) (float):37.3 MB
Number of parameters (vgg_3d_detection):46.1M
Model size (vgg_3d_detection) (float):176 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:APACHE-2.0
Tags
- real-time
Supported Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8295P
- Qualcomm® SA8775P
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