Overview
DAURA (Detection of Disadvantaged Urban Areas) is a deep learning framework designed to identify vulnerable urban regions using satellite imagery. It orchestrates an end-to-end pipeline from patch extraction to model training and inference.
Capabilities
- Patch Extraction: Automated sliding-window extraction and dataset balancing.
- Model: ResNet50 classifier with configurable hyperparameters.
- Interactive UI: Gradio app for real-time inference heatmaps.
- Integration: Daura operates as an installable python package for modular use.