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---
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
---
---%25E5%2589%25AF%25E6%259C%25AC(1).jpg&w=640&q=75)
## MediaPipe-Selfie-Segmentation: Semantic Segmentation
MediaPipe-Selfie-Segmentation is a real-time human segmentation model within Google's MediaPipe framework, optimized for efficient background separation. Leveraging deep learning, lightweight architecture, and hardware acceleration, it supports multi-resolution input on mobile and edge devices. Core features include precise subject extraction, background replacement/blurring, and applications in video conferencing (e.g., virtual backgrounds), AR filters (e.g., dynamic effects), and photo editing. With general and landscape versions, it balances low computational resource consumption with high-quality output, establishing itself as an industry benchmark for lightweight portrait segmentation.
### Source model
- Input shape: 1x3x256x256
- Number of parameters: 0.11M
- Model size: 0.65M
- Output shape: 1x1x256x256
The source model can be found [here](https://github.com/google-ai-edge/mediapipe/tree/master/mediapipe/modules/selfie_segmentation).
## 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/google-ai-edge/mediapipe/blob/master/LICENSE)
- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf) |