Appendix

Stimuli are visualized in Figures 7 and 8. Our Python library,"modelvshuman", to test and benchmark models against high-quality human These two models are referred to as ViT -L (14M) and ViT -B (14M) in the paper. Note that the "im-agenet1k" suffix in the model names does not mean the model was only trained on ImageNet1K. We then made two predictions which we test here. While this relationship is not perfect (e.g., the difference is small for silhouette Prior to the experiment, visual acuity was measured with a Snellen chart to ensure normal or corrected to normal vision. Our experiment was a standard perceptual experiment, for which no IRB approval was required.