Add missing HTML image alt tags (#6611)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2023-11-27 17:46:29 +01:00 committed by GitHub
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@ -11,22 +11,22 @@ keywords: Ultralytics, Android App, real-time object detection, YOLO models, Ten
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The Ultralytics Android App is a powerful tool that allows you to run YOLO models directly on your Android device for real-time object detection. This app utilizes TensorFlow Lite for model optimization and various hardware delegates for acceleration, enabling fast and efficient object detection.

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@ -11,24 +11,24 @@ keywords: Ultralytics, HUB App, YOLOv5, YOLOv8, mobile AI, real-time object dete
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Welcome to the Ultralytics HUB App! We are excited to introduce this powerful mobile app that allows you to run YOLOv5 and YOLOv8 models directly on your [iOS](https://apps.apple.com/xk/app/ultralytics/id1583935240) and [Android](https://play.google.com/store/apps/details?id=com.ultralytics.ultralytics_app) devices. With the HUB App, you can utilize hardware acceleration features like Apple's Neural Engine (ANE) or Android GPU and Neural Network API (NNAPI) delegates to achieve impressive performance on your mobile device.

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@ -11,22 +11,22 @@ keywords: Ultralytics, iOS app, object detection, YOLO models, real time, Apple
<br>
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<a href="https://github.com/ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="3%" alt="Ultralytics GitHub"></a>
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</div>
The Ultralytics iOS App is a powerful tool that allows you to run YOLO models directly on your iPhone or iPad for real-time object detection. This app utilizes the Apple Neural Engine and Core ML for model optimization and acceleration, enabling fast and efficient object detection.

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@ -25,7 +25,7 @@ zip -r coco8.zip coco8
You can download our [COCO8](https://github.com/ultralytics/hub/blob/main/example_datasets/coco8.zip) example dataset and unzip it to see exactly how to structure your dataset.
<p align="center">
<img src="https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/datasets/hub_upload_dataset_1.jpg" alt="COCO8 Dataset Structure" width="80%" />
<img src="https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/datasets/hub_upload_dataset_1.jpg" alt="COCO8 Dataset Structure" width="80%">
</p>
The dataset YAML is the same standard YOLOv5 and YOLOv8 YAML format.

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@ -11,17 +11,17 @@ keywords: Ultralytics HUB, YOLOv5, YOLOv8, model training, model deployment, pre
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