Qualcomm® AI HubAI Hub

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 Compute Devices

  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD

Supported Compute Chipsets

  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core

Related Models

See all models
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.

Looking for more? See models created by industry leaders.

Discover Model Makers