This dataset contains images of natural objects with low- and high-frequency cue conflicts, as described in the paper Can We Talk Models Into Seeing the World Differently?.

The dataset consists of 1200 images where the low-frequency and high-frequency information correlate with different classes (out of 16 classes). This dataset can be used to evaluate the frequency-bias of vision models.