Clothing Type Classification Using Transfer Learning with Focus on Traditional Jordanian Garments

>This project implements a transfer learning approach using MobileNetV2, EfficientNetB3 &EfficientNetB0 to classify 20 traditional and modern clothing categories, with emphasis on Jordanian cultural attire(e.g., thobe, keffiyeh, bisht, abaya).

>- Dataset: 20 classes × 30 images each (600 images)

>- split into 80% train / 20% test

>- Goal: Achieve robust accuracy while preserving cultural relevance.