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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/ios.md
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@ -1,7 +1,7 @@
---
comments: true
description: Execute object detection in real-time on your iOS devices utilizing YOLO models. Leverage the power of the Apple Neural Engine and Core ML for fast and efficient object detection.
keywords: Ultralytics, iOS app, object detection, YOLO models, real time, Apple Neural Engine, Core ML, FP16, INT8, quantization
description: Transform your iOS device into a powerful object detection tool with the Ultralytics iOS App, powered by YOLO models.
keywords: Ultralytics, iOS app, YOLO, object detection, real-time, iPhone, iPad, quantization, Apple Neural Engine, Core ML
---
# Ultralytics iOS App: Real-time Object Detection with YOLO Models
@ -87,4 +87,4 @@ To get started with the Ultralytics iOS 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 iOS App, you can now leverage the power of YOLO models for real-time object detection on your iPhone or iPad, powered by the Apple Neural Engine and optimized with FP16 or INT8 quantization.
With the Ultralytics iOS App, you can now leverage the power of YOLO models for real-time object detection on your iPhone or iPad, powered by the Apple Neural Engine and optimized with FP16 or INT8 quantization.