Nice walkthrough of YOLOv1's loss function for anyone wanting to understand the math behind real-time object detection. What made YOLO revolutionary was treating detection as a single regression problem instead of the complex pipelines before it - this piece breaks down exactly how that works. Solid refresher even if you've moved on to newer versions.
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