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RF-DETR

Transformer based object detection model architecture developed by Roboflow.

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

Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:RF-DETR-base
Input resolution:560x560
Number of parameters:29.0M
Model size:116MB

Applicable Scenarios

  • Robotic Navigation
  • Camera

Licenses

Source Model:APACHE-2.0
Deployable Model:AI-HUB-MODELS-LICENSE

Supported Automotive Devices

  • SA7255P ADP
  • SA8255 (Proxy)
  • SA8295P ADP
  • SA8650 (Proxy)
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8255P (Proxy)
  • Qualcomm® SA8295P
  • Qualcomm® SA8650P (Proxy)
  • Qualcomm® SA8775P

Related Models

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View details for the DETR-ResNet50-DC5 model.

DETR-ResNet50-DC5

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

View details for the DETR-ResNet101-DC5 model.

DETR-ResNet101-DC5

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

View details for the DETR-ResNet101 model.

DETR-ResNet101

Transformer based object detector with ResNet101 backbone.

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