README.md

---
license: other
license_name: aplux-model-farm-license
license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
pipeline_tag: image-segmentation
tags:
- AIoT
- QNN
---

![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F20250613113526_seg2.png&w=640&q=75)

## DeepLab-V3-Plus (MobileNet): Semantic Segmentation

DeepLab-V3-Plus (MobileNet) is a lightweight semantic segmentation model that combines the DeepLab-V3-Plus architecture with MobileNet. DeepLab-V3-Plus is an advanced framework for semantic segmentation, using Atrous Spatial Pyramid Pooling (ASPP) and an encoder-decoder structure to improve segmentation accuracy. MobileNet, known for its efficiency, reduces computational complexity and model size. By using MobileNet as the backbone of DeepLab-V3-Plus, this model can perform high-quality semantic segmentation on mobile or edge devices with limited computational resources. It is widely used in real-time segmentation tasks such as autonomous driving, medical image analysis, and augmented reality.

### Source model

- Input shape: 513x513
- Number of parameters: 5.55M
- Model size: 22.16M
- Output shape: 1x21x513x513

Source model repository: [DeepLab-V3-Plus (MobileNet)](https://github.com/jfzhang95/pytorch-deeplab-xception)

## 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: [MIT](https://github.com/jfzhang95/pytorch-deeplab-xception/blob/master/LICENSE)

- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf)