DETR-ResNet101
Transformer based object detector with ResNet101 backbone.
DETR is a machine learning model that can detect objects (trained on COCO dataset).
Qualcomm® QCS8550
QCS8550 (Proxy)
TorchScriptTFLite
48.1ms
Inference Time
1-12MB
Memory Usage
910NPU
2GPU
Layers
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 IoT Devices
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8550