File size: 1,701 Bytes
d61f565 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
---
license: other
license_name: aplux-model-farm-license
license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
---
## MobileNet-v2: Image Classification
MobileNet-v2 is an efficient deep convolutional neural network designed for mobile and embedded devices. It improves upon MobileNet-v1 by introducing an inverted residual structure and a linear bottleneck design. The inverted residuals enable efficient computation by retaining low-dimensional features, while the linear bottleneck reduces the transmission of redundant information, lowering computational costs. MobileNet-v2 achieves significant reductions in model parameters and computational overhead without sacrificing accuracy, making it suitable for environments with limited resources. It is widely used in tasks such as image classification, object detection, and semantic segmentation.
### Source model
- Input shape: 224x224
- Number of parameters: 3.34M
- Model size: 13.34M
- Output shape: 1x1000
Source model repository: [MobileNet-v2](https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv2.py)
## Performance Reference
Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
## Inference & Model Conversion
Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
## License
- Source Model: [APACHE-2.0](https://github.com/tonylins/pytorch-mobilenet-v2/blob/master/LICENSE)
- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf)
|