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UROP — Physics-Informed UNet++ for Multi-Hazard Detection
Overview
Physics-informed deep learning model for large-scale multi-hazard segmentation using satellite imagery (SAR + optical).
Architecture
- UNet++ backbone (ResNet34 encoder)
- Physics-informed regularization
- Optuna-tuned hyperparameters
Key Metrics
- Validation IoU: 1.00
- Inference: FP16 GPU streaming (Kaggle)
Files
model_logits_traced.pt— TorchScriptmodel_logits_dynamic.onnx— ONNXmetrics.json— evaluationoptuna_best.json— hyperparameters
License
Apache-2.0
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