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mobilenet_v1_vww
EclipseAidge/mobilenet_v1_vww
mobilenet_v1_vww is a image classification model from EclipseAidge. Use it when you need a label for an image.
- Origin: https://github.com/mlcommons/tiny/tree/master/benchmark/training/visualwakewords
Access
Public
Updated Dec 2, 2025
Repo size
914 KB
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Repo makeup
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At a glance
- Task
- Image Classification
- Access
- Public
- Created
- Nov 10, 2025
- Updated
- Dec 2, 2025
- SHA
- bbfa0aa1
Model card
From the Hugging Face model README
MobileNetv1 Visual Wake Words
Model
- ONNX attributes:
- opset : 11
- Operators: 116 (10 types)
- Producer: 57
- Conv2D: 13
- ReLU: 27
- PaddedConvDepthWise2D: 13
- PaddedConv2D: 1
- Softmax: 1
- FC: 1
- Reshape: 1
- Transpose: 1
- AvgPooling2D: 1
Aidge support
Note: We tested this network for the following features. If you encounter any error please open an issue. Features not tested in CI may not be functional.
| Feature | Tested in CI |
|---|---|
| ONNX import | ✔️ |
| Runtime CPU | ✔️ |
| Runtime CUDA | ✔️ |
| Export CPU | ✔️ |
Visual Wake Words
- Input:
- size: [N, 3, 96, 96]
- format : NCHW
- Output
- size: [N, 2]
- Task
- Image Classification
- Languages
- en
- Created
- Nov 10, 2025
- Updated
- Dec 2, 2025