Update HUB SDK Docs (#13309)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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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.
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keywords: Ultralytics, YOLOv5, Object Detection, Architecture, Model Structure, Data Augmentation, Training Strategies, Loss Computation
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description: Dive deep into the powerful YOLOv5 architecture by Ultralytics, exploring its model structure, data augmentation techniques, training strategies, and loss computations.
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keywords: YOLOv5 architecture, object detection, Ultralytics, YOLO, model structure, data augmentation, training strategies, loss computations, deep learning, machine learning
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# Ultralytics YOLOv5 Architecture
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