Explainable YOLOv8: Explaining YOLOv8 Results Using Eigen-CAM

Author(s): Sumit Pandey

Originally published on Towards AI.

I am a big fan of YOLO (You Only Look Once) models, especially version 8. It is easy to train and deploy, even in the medical imaging domain. I recently finished a classification problem using YOLOv8, and it worked quite well. However, the main issue was its lack of an inbuilt Explainable results function like GRAD-CAM or Eigen-CAM. After searching on the internet for hours, I found a GitHub repository that does exactly what I wanted, and even more. It is also easy to use. So, let’s see how to use:

IntroductionStep cloning github repositoryImporting librariesInitializing EigenCAM

The integration of Eigen-CAM into… Read the full blog for free on Medium.

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Published via Towards AI