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DETR-ResNet101-DC5

Transformer based object detector with ResNet101 backbone (dilated C5 stage).

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

Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:ResNet101-DC5
Input resolution:480x480
Number of parameters:61.1M
Model size:231 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 (Proxy)

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DETR-ResNet50-DC5

Transformer based object detector with ResNet50 backbone (dilated C5 stage).

View details for the DETR-ResNet101 model.

DETR-ResNet101

Transformer based object detector with ResNet101 backbone.

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