TbExplain is a framework that employs explainable AI (XAI) techniques and a pre-trained object detector to present text-based explanations of scene classification models. It incorporates a novel method to correct predictions and textually explain them based on the statistics of objects in the input image when the initial prediction is unreliable, improving both interpretability and robustness.