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
Number of parameters(YOLO):8.85M
Model size(YOLO):37.3 MB
Input resolution(VGG):224x224
Number of parameters(VGG):144M
Model size(VGG):175.9 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Tags
- real-time
Supported IoT Devices
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
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