HomeIoT ModelsDETR-ResNet50

DETR-ResNet50

Transformer based object detector with ResNet50 backbone.

DETR is a machine learning model that can detect objects (trained on COCO dataset).

Qualcomm® QCS8550
QCS8550 (Proxy)
20.7ms
Inference Time
0-4MB
Memory Usage
771NPU
Layers

Technical Details

Model checkpoint:ResNet50
Input resolution:480x480
Number of parameters:41.3M
Model size:158 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