Ahmad Balya Al Erpat

Performance and Training-Time Comparison of Five Pretrained CNN Architectures for South Kalimantan Food Image Classification

Purpose - This study analyzes the classification performance and computational efficiency of five pretrained Convolutional Neural Network (CNN) architectures for identifying South Kalimantan traditional food images as an expanded benchmark. Design/methods/approach - The models were trained on a curated traditional food...