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.
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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YOLOv1 Loss Function Walkthrough: Regression for All
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions The post YOLOv1 Loss Function Walkthrough: Regression for All appeared first on Towards Data Science.
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