Update docs metadata (#3781)

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Glenn Jocher 2023-07-17 12:40:04 +02:00 committed by GitHub
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---
comments: true
description: Explore the details of Ultralytics YOLOv5 architecture, a comprehensive guide to its model structure, data augmentation techniques, training strategies, and various features. Understand the intricacies of object detection algorithms and improve your skills in the machine learning field.
keywords: yolov5 architecture, data augmentation, training strategies, object detection, yolo docs, ultralytics
description: Explore the architecture of YOLOv5, an object detection algorithm by Ultralytics. Understand the model structure, data augmentation methods, training strategies, and loss computation techniques.
keywords: Ultralytics, YOLOv5, Object Detection, Architecture, Model Structure, Data Augmentation, Training Strategies, Loss Computation
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# Ultralytics YOLOv5 Architecture