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)
Performance Reference
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License
Source Model: MIT
Deployable Model: APLUX-MODEL-FARM-LICENSE