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 IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution(VGG):224x224
Input resolution(YOLO):224x640
Model checkpoint:YOLOv3-tiny
Model size (vgg_3d_detection) (float):176 MB
Model size (yolo_2d_detection) (float):37.3 MB
Number of parameters (vgg_3d_detection):46.1M
Number of parameters (yolo_2d_detection):9.78M
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:APACHE-2.0
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® Dragonwing™ QCS6490
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ Q-7790
- Qualcomm® Dragonwing™ QCS8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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