README.md

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 — TorchScript
• model_logits_dynamic.onnx — ONNX
• metrics.json — evaluation
• optuna_best.json — hyperparameters

License

Apache-2.0