Summary:
The article, written by Stavros Theocharis, introduces the ‘easy-explain’ package and its use with the YoloV8 model for explaining predictions. The author describes the process of using the package, loading the YoloV8 model, and using Layer-Wise Relevance Propagation (LRP) for explanations. The article also includes images and code snippets to illustrate the steps. Additionally, reference links and a brief explanation of LRP’s functionality are provided. The article concludes with an invitation for feedback and contribution to the project.

source update: Explainable AI for YoloV8 – Towards AI

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