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[swetask4312]

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Question

Can I use Yolov8 medium model in Android phone with snapdragon 778g processor by converting model into tf lite is it safe for phone life span???

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[github-actions[bot]]

👋 Hello @swetask4312, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

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[UltralyticsAssistant]

@swetask4312 yes, it is possible to use the Yolov8 medium model on an Android phone with a Snapdragon 778g processor by converting the model into TensorFlow Lite. As for your question concerning safety and the phone's lifespan, the use of machine learning models, such as YOLOv8, should not pose any direct harm to your device or shorten its lifespan.

However, it's important to keep in mind that running complex ML models on a mobile device can pose heavy computational demands and may cause the device to heat up, use more power, and consequently drain the battery faster. It's also important to optimize the model as much as possible to ensure smooth and efficient operation.

Any potential wear and tear to the device due to running an ML model would be similar to any other resource-intensive task such as gaming or video editing. It's always good practice to monitor your phone’s responses (like heating and battery drain) while running such tasks, and if necessary, limit their use accordingly.