The data for "Artificial Intelligence–based Galaxy Morphology Classification and Optimal Model Exploration Using Citizen Science Data from Everyone's Galaxy Research Lab Project"

Machine-readable version of Table 8 from Park et al. This dataset contains the inferred galaxy morphology classifications for the full sample analyzed in the study. For each galaxy, the table provides its object index, equatorial coordinates (R.A. and Decl., J2000), 2MASS identifier, existing morphology classifications from the 2MRS, SDSS, and DESI catalogs, the consensus visual classification from the Everyone's Galaxy Research Lab citizen science project, and the morphology predictions from four deep-learning models: VGGNet Single, ResNet Single, VGGNet Ensemble, and ResNet Ensemble. Morphological labels are encoded as 9-character strings representing the presence or absence of the following features: elliptical, disk, spiral arm, irregular, ring, bar, merger, tidal tail, and unusual structure.