simply-CLEVR
Introduced by Arras et al. in Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
The simply-CLEVR dataset aims to provide a benchmark dataset that can be used for transparent quantitative evaluation of explanation methods (aka heatmaps/XAI methods). It is made of simple Visual Question Answering (VQA) questions, which are derived from the original CLEVR task, and where each question is accompanied by two Ground Truth Masks that serve as a basis for evaluating explanations on the input image.
Source: https://github.com/ahmedmagdiosman/simply-clevr-datasetPapers
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