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DETR-ResNet101

Transformer based object detector with ResNet101 backbone.

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

Snapdragon® X Elite
TorchScripttoONNX Runtime
23.0ms
Inference Time
96MB
Memory Usage
856NPU
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 Compute Chipsets

  • Snapdragon® X Elite