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Update HUB SDK Docs (#13309)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-06-02 21:39:34 +02:00 • committed by GitHub
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docs/en/hub/app/android.md
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@ -1,7 +1,7 @@
---
comments: true
description: Discover real-time object detection on your Android with the Ultralytics App using optimized YOLO models.
keywords: Ultralytics, YOLO, Android app, real-time object detection, TensorFlow Lite, model optimization, AI mobile application
description: Experience real-time object detection on Android with Ultralytics. Leverage YOLO models for efficient and fast object identification. Download now!.
keywords: Ultralytics, Android app, real-time object detection, YOLO models, TensorFlow Lite, FP16 quantization, INT8 quantization, hardware delegates, mobile AI, download app
---
# Ultralytics Android App: Real-time Object Detection with YOLO Models
@ -97,4 +97,4 @@ To get started with the Ultralytics Android App, follow these steps:
6. Explore the app's settings to adjust the detection threshold, enable or disable specific object classes, and more.
With the Ultralytics Android App, you now have the power of real-time object detection using YOLO models right at your fingertips. Enjoy exploring the app's features and optimizing its settings to suit your specific use cases.
With the Ultralytics Android App, you now have the power of real-time object detection using YOLO models right at your fingertips. Enjoy exploring the app's features and optimizing its settings to suit your specific use cases.