HomeIoT ModelsDETR-ResNet50-DC5

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).

Qualcomm® QCS8550
QCS8550 (Proxy)
135ms
Inference Time
1-4MB
Memory Usage
772NPU
Layers

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