DETR-ResNet101
Transformer based object detector with ResNet101 backbone.
DETR is a machine learning model that can detect objects (trained on COCO dataset).
Not supported
This model is currently not supported on any Compute chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Model checkpoint:ResNet101
Input resolution:480x480
Number of parameters:60.3M
Model size (float):230 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:APACHE-2.0
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
- Snapdragon® X2 Elite
Related Models
See all modelsLooking for more? See models created by industry leaders.
Discover Model Makers









