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--- |
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license: other |
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license_name: aplux-model-farm-license |
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license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf |
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pipeline_tag: image-classification |
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tags: |
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- AIoT |
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- QNN |
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--- |
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## MobileNet-v3-Small: Image Classification |
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MobileNet-V3-Small is the lightweight version in the third generation of the MobileNet series, designed for resource-constrained devices like mobile and edge devices. Based on automated machine learning (AutoML) techniques, MobileNet-V3-Small incorporates depthwise separable convolutions, a hard-swish activation function, and a Squeeze-and-Excitation (SE) attention mechanism to boost performance and efficiency. Compared to MobileNet-V3-Large, MobileNet-V3-Small has a more compact architecture with fewer parameters, making it suitable for efficient image classification, object detection, and other tasks in low-power environments. Common applications on mobile include real-time face recognition, gesture control, and image classification, delivering high accuracy with fast processing capabilities. |
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### Source model |
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- Input shape: 224x224 |
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- Number of parameters: 2.42M |
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- Model size: 9.71M |
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- Output shape: 1x1000 |
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Source model repository: [MobileNet-v3-Small](https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv3.py) |
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## Performance Reference |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## Inference & Model Conversion |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## License |
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- Source Model: [BSD-3-CLAUSE](https://github.com/pytorch/vision/blob/main/LICENSE) |
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- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf) |
