DETR-ResNet50
Transformer based object detector with ResNet50 backbone.
DETR is a machine learning model that can detect objects (trained on COCO dataset).
Technical Details
Model checkpoint:ResNet50
Input resolution:480x480
Number of parameters:41.4M
Model size (float):158 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Licenses
Source Model:APACHE-2.0
Deployable Model:AI-HUB-MODELS-LICENSE
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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