DETR-ResNet101
Transformer based object detector with ResNet101 backbone.
DETR is a machine learning model that can detect objects (trained on COCO dataset).
Technical Details
Model checkpoint:ResNet101
Input resolution:480x480
Number of parameters:60.3M
Model size:230 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Supported Automotive Devices
- SA8255 (Proxy)
- SA8650 (Proxy)
- SA8775 (Proxy)
Supported Automotive Chipsets
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P (Proxy)