Multivoxel pattern classification results for between-subject classification (BSC). Individual responses were transformed to the common space. Transformation matrices were estimated using the shared response model fit to the independent set of retinotopic mapping data. Classification accuracies were cross-validated by leaving out the participant during classifier training whose data were used for testing (leave-one-subject-out). Bars represent prediction accuracies averaged across participants. Error bars denote the 2.5th and the 97.5th percentile of the permuted null distributions. Asterisks and plus sign denote accuracies significantly exceeding chance at p < 0.01 and p < 0.05, respectively (permutation tests, 2,000 iterations, FWE corrected across 7 ROIs). Both color and luminance could be predicted across subjects from areas V1–V3. Additionally, color could be predicted from hV4 and LO1.