DroneBench Dataset is a structured collection of real or simulated wildfire monitoring layouts for benchmarking drone-based surveillance and optimization strategies. This dataset is designed for testing sensor placement, drone routing algorithms, and fire detection systems in diverse terrain and environmental conditions.
Each folder (e.g., 0098_01784/, 0103_01810/) represents a unique layout and contains:
Fuel_Map/: Fuel availability grid… See the full description on the dataset page:
https://huggingface.co/datasets/anonymoussubmission2/NeurIPS-ED-2026-SubID-2831.
