Tarsius Image-Source Classification Using VGG Feature Extraction and Machine Learning Classifiers
Background: Reliable classification of heterogeneous Tarsius imagery is relevant to digital wildlife-data management, yet real photographs and AI-generated images may share visual characteristics that complicate automated separation. Objective: This study compares VGG-16, VGG-19, and InceptionV3 feature extraction comb...