Understanding YOLO object detection in depth

Hello everyone,

I have trained and deployed a solution of a computer vision project that uses YOLOv8 as one of the models in the solution's pipeline.

I need a recommendation on a resource to understand in depth the working and magic of YOLO model.
Like I need to understand that how it looks only once, how it uses anchor boxes and non max suppression, and the thing I did not get at all was that how an object present across …

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