YOLO Android

[Chrn0924]

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Description

Android Use

Use case

No response

Additional

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[pderrenger]

Hello! 😊

Thanks for reaching out about using YOLO on Android. While we don't have a dedicated Android app, you can integrate YOLO models into Android applications using frameworks like TensorFlow Lite or ONNX Runtime. Here's a general approach:

1. Export the Model: First, export your YOLO model to a format compatible with mobile deployment, such as TensorFlow Lite or ONNX.

2. Integrate with Android:

   • Use TensorFlow Lite or ONNX Runtime to load and run the model on your Android device.
   • You can find detailed guides on how to integrate these frameworks into your Android project on their respective documentation sites.

3. Optimize for Performance: Consider optimizing your model for mobile use by quantization or pruning to improve inference speed and reduce size.

For more detailed steps, you might want to check out the Ultralytics documentation for exporting models and additional resources.

If you encounter any issues during implementation, feel free to ask here. The community and the Ultralytics team are always here to help!

Best of luck with your project! 🚀