Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation

Benchmark Model Rank Results
age-and-gender-classification-on-adienceMiVOLO-V2#1Accuracy (5-fold): 97.39
age-and-gender-classification-on-adience-ageMiVOLO-V2#1Accuracy (5-fold): 69.43
age-estimation-on-cacdMiVOLO-V2#1MAE: 3.89
age-estimation-on-imdb-cleanMiVOLO-V2#1Average mean absolute error: 3.97
facial-attribute-classification-on-fairfaceMiVOLO-V2#1gender-top1: 97.5age-top1: 62.28