Analysis of text-to-image models’ estimation biases across object categories.

“-” indicates no systematic bias, “Over.” means the model’s outputs are systematically higher than ground truth, and “Under.” means they were systematically lower. Numbers in brackets represent the effect sizes (Cohen’s r).