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mixup-augmentation

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DishankVyas / Indian-Architectural-Monument-Classification

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🏛️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
  • Updated Feb 10, 2026
  • Jupyter Notebook
building-architectural-image-classifier

arcxteam / building-architectural-image-classifier

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Fine-Grained Image Classification of World Architecture: An EfficientNetV2 Transfer Learning Approach with Layered Regularization

deep-learning keras grad-cam image-classification transfer-learning tensorflow-serving ipynb-notebook focal-loss tensorflow-lite tflite tensorflowjs test-time-augmentation huggingface temperature-scaling discriminative-model gem-pooling efficientnetv2 cutmix-augmentation mixup-augmentation
  • Updated Jul 2, 2026
  • Jupyter Notebook

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