This is a post about using Explainable YOLOv8 to explain YOLOv8 results. The author discusses their experience using YOLOv8 for a classification problem and the lack of an inbuilt explainable results function. They found a GitHub repository that solved this issue and wrote a blog post explaining how to use it. The full blog can be read for free on Medium.

source update: Explaining YOLOv8 Results Using Eigen-CAM – Towards AI

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