CategoryHierarchies.com

Computer Vision within Explainable AI involves developing and applying algorithms that can interpret and generate explanations for visual data, thereby enhancing transparency and trust in AI systems reliant on image analysis. It's about designing computer vision models capable of providing clear insights into their decision-making processes while delivering accurate results. This subfield explores techniques to ensure that the rationale behind image classification, object detection, segmentation, or other visual tasks is comprehensible for users and developers alike, ultimately contributing to the development of responsible AI technology.