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

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