DETR-ResNet50-DC5
Transformer based object detector with ResNet50 backbone (dilated C5 stage).
DETR is a machine learning model that can detect objects (trained on COCO dataset).
Technical Details
Model checkpoint:ResNet50-DC5
Input resolution:480x480
Number of parameters:42.2M
Model size:159 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Supported IoT Devices
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8550 (Proxy)
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