🏛️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.
python opencv machine-learning computer-vision deep-learning tensorflow architecture keras image-classification transfer-learning inceptionv3 cultural-heritage saliency-detection fine-tuning inception-resnet-v2 mixed-precision indian-monuments architectural-classification monument-recognition mixup-augmentation
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Updated
Feb 10, 2026 - Jupyter Notebook