RepViT
Imagenet classifier optimized for mobile devices.
RepViT is a lightweight pure CNN model for mobile devices, incorporating efficient architectural designs from Vision Transformers into CNNs. It achieves over 80% top‑1 accuracy on ImageNet with 1ms latency on an iPhone 12.
Not supported
This model is currently not supported on any IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution:224x224
Model checkpoint:Imagenet
Model size (float):91 MB
Number of parameters:22.9M
Applicable Scenarios
- Medical Imaging
- Anomaly Detection
- Inventory Management
License
Model:APACHE-2.0
Tags
- backbone
Supported IoT Devices
- Arduino VENTUNO Q
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS5121
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ IQ-8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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