We are excited to announce the first on-device support and binaries for a PyTorch domain library. We have seen significant appetite in both research and industry for on-device vision support to allow low latency, privacy friendly, and resource efficient mobile vision experiences. You can follow this new tutorial to build your own Android object detection app using TorchVision operators, D2Go, or your own custom operators and model.



[Stable] New Mobile models for Classification, Object Detection and Semantic Segmentation
We have added support for the MobileNetV3 architecture and provided pre-trained weights for Classification, Object Detection and Segmentation. It is easy to get up and running with these models, just import and load them as you would any torchvision model:
```python
import torch
import torchvision