Welcome to xaitk-saliency’s documentation!
Welcome to the documentation for xaitk-saliency. As part of the Explainable AI Toolkit (XAITK), xaitk-saliency is an open source, explainable AI framework for visual saliency algorithm interfaces and implementations, built for analytics and autonomy applications. The xaitk-saliency package provides saliency algorithms for a wide range of image understanding tasks, including image classification, image similarity, object detection, and reinforcement learning. The current list of supported saliency algorithms can be found in Saliency Algorithms.
This documentation is structured to provide you with straightforward and practical instructions and examples, so that you can effectively leverage the toolkit to enhance the robustness and reliability of your computer vision applications in facing real-world challenges.
Acknowledgment
This material is based upon work supported by the Chief Digital and Artificial Intelligence Office under Contract No. 519TC-23-9-2032. The views and conclusions contained herein are those of the author(s) and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government.
Documentation Contents:
Quick Start
Tutorials