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Docs: HUB Updates (#12804)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Sergiu Waxmann 2024-05-18 22:57:34 +03:00 • committed by GitHub
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docs/en/hub/app/android.md
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@ -1,7 +1,7 @@
---
comments: true
description: Learn about the Ultralytics Android App, enabling real-time object detection using YOLO models. Discover in-app features, quantization methods, and delegate options for optimal performance.
keywords: Ultralytics, Android App, real-time object detection, YOLO models, TensorFlow Lite, FP16 quantization, INT8 quantization, CPU, GPU, Hexagon, NNAPI
description: Experience rapid object detection on your Android device with the Ultralytics YOLO model app. Click to learn more!.
keywords: Ultralytics, YOLO, Android App, real-time object detection, TensorFlow Lite, hardware acceleration, FP16, INT8, GPU
---
# 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.