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qualcomm/DETR-ResNet101-DC5

sourceHugging Faceapache-2.0updated 11d agoView on Hugging Face

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DETR-ResNet101-DC5: Optimized for Qualcomm Devices

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

This is based on the implementation of DETR-ResNet101-DC5 found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

There are two ways to deploy this model on your device:

Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

Runtime	Precision	Chipset	SDK Versions	Download
ONNX	float	Universal	QAIRT 2.45, ONNX Runtime 1.27.1	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	Download

For more device-specific assets and performance metrics, visit [DETR-ResNet101-DC5 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/detr_resnet101_dc5).

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

—Custom weights (e.g., fine-tuned checkpoints)
—Custom input shapes
—Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for DETR-ResNet101-DC5 on GitHub for usage instructions.

Model Details

Model Type: Modelusecase.object_detection

Model Stats:

—Input resolution: 480x480
—Model checkpoint: ResNet101-DC5
—Model size (float): 232 MB

Performance Summary

Model	Runtime	Precision	Chipset	Inference Time (ms)	Peak Memory Range (MB)	Primary Compute Unit
DETR-ResNet101-DC5	ONNX	float	Snapdragon® X2 Elite	23.625 ms	5 - 5 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® X Elite	51.34 ms	115 - 115 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® 8 Gen 3 Mobile	36.41 ms	5 - 572 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® 8 Gen 1 Mobile	84.556 ms	1 - 476 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® Dragonwing™ IQ-8275	72.506 ms	5 - 13 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	49.717 ms	0 - 127 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® QCS8450	84.556 ms	1 - 476 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	68.977 ms	5 - 12 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	51.34 ms	115 - 115 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Qualcomm® Dragonwing™ Q-8750	27.174 ms	3 - 436 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® 8 Elite Mobile	27.174 ms	3 - 436 MB	NPU
DETR-ResNet101-DC5	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	21.756 ms	1 - 446 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® X2 Elite	24.72 ms	5 - 5 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® X Elite	53.521 ms	5 - 5 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	37.618 ms	2 - 553 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	108.871 ms	5 - 468 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-8275	73.503 ms	5 - 12 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	51.201 ms	5 - 7 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® SA8775P	69.864 ms	0 - 426 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® SA8650P	69.864 ms	0 - 426 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® SA8255P	69.864 ms	0 - 426 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® QCS8450	108.871 ms	5 - 468 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	69.742 ms	5 - 11 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	53.521 ms	5 - 5 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	27.982 ms	5 - 453 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® SA7255P	220.255 ms	1 - 426 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Qualcomm® SA8295P	86.104 ms	2 - 343 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® 8 Elite Mobile	27.982 ms	5 - 453 MB	NPU
DETR-ResNet101-DC5	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	22.645 ms	5 - 449 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	37.26 ms	0 - 599 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	84.498 ms	1 - 479 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® Dragonwing™ IQ-8275	73.019 ms	0 - 127 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	50.767 ms	0 - 3 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA8775P	69.524 ms	0 - 470 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA8650P	69.524 ms	0 - 470 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA8255P	69.524 ms	0 - 470 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® QCS8450	84.498 ms	1 - 479 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	69.79 ms	0 - 126 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	27.966 ms	0 - 480 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA7255P	219.47 ms	1 - 472 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Qualcomm® SA8295P	76.612 ms	0 - 358 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Snapdragon® 8 Elite Mobile	27.966 ms	0 - 480 MB	NPU
DETR-ResNet101-DC5	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	22.281 ms	0 - 493 MB	NPU

License

—The license for the original implementation of DETR-ResNet101-DC5 can be found here.

References

Community

—Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
—For questions or feedback please reach out to us.