DETR-ResNet101
Transformer based object detector with ResNet101 backbone.
DETR is a machine learning model that can detect objects (trained on COCO dataset).
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 Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
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