ROC curves and area under the curve (AUC) values for multiple methods, including two variants of ASID-C, two XGBoost models, SourceExtractor, and a Baseline model. Optimal threshold points are indicated on each curve, and vertical dashed lines show the false positive rate at these optimal points. The ASID-C model, when trained with the additional seeing parameter, exhibits the highest overall AUC.