Fine-Grained Image Classification of World Architecture: An EfficientNetV2 Transfer Learning Approach with Layered Regularization
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Updated
Jul 2, 2026 - Jupyter Notebook
Fine-Grained Image Classification of World Architecture: An EfficientNetV2 Transfer Learning Approach with Layered Regularization
🏛️Deep learning pipeline for Indian Monument Architectural Classification. Classifies 8 styles using Inception V3 & ResNet V2. Features Saliency-based localized cropping & Two-Phase Transfer Learning to optimize feature extraction. Achieved 96.7% accuracy on a hybrid dataset of original images and saliency crops. Python | TensorFlow | OpenCV.
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