MMFire

MMFire is a wildfire spread dataset, with inputs provided by the LANDFIRE program [1,2], and outcomes simulated using the SimFire [3] software, which internally uses the Rothermel equations [4]. The dataset serves as a benchmark for ambiguous segmentation tasks. For each input condition describing a wildfire and environmental conditions, it contains eight different possible outcomes. For the simulator to produce different outcomes, we vary the wind direction between eight options (North, North-East, East, ... ), set as constant over the whole 64x64 pixel area. Please note that this dataset does not represent realistic wildfire spread. It is only meant as a tool to study ambiguous segmentation. The eight different outcomes per input are not a realistic approximation of future outcomes. However, since reality only provides us with a single outcome, we resort to simulations to be able to validate our methods. Since the relationship between input and outputs is a relatively simple computer program, be aware that models with enough capacity should be able to approximate this relationship very well. If you use this dataset, please cite the corresponding paper: @inproceedings{ gerard2025wildfire, title={Wildfire Spread Scenarios: Increasing Sample Diversity of Segmentation Diffusion Models with Training-Free Methods}, author={Sebastian Gerard and Josephine Sullivan}, booktitle={Northern Lights Deep Learning Conference 2026}, year={2025}, url={https://openreview.net/forum?id=E44d5hzEV0} } [1] LANDFIRE. Anderson Fire Behavior Fuel Model (FBFM13) Layer. LANDFIRE 2.0.0. U.S. Department of the Interior, GeologicalSurvey, and U.S. Department of Agriculture, 2016. url: https://landfire.gov/[2] LANDFIRE. Elevation Layer. LANDFIRE 2.2.0. U.S. Department of the Interior, Geological Survey, and U.S. Department of Agriculture, 2020. url: https://landfire.gov/[3] Doyle, M., Threet, M., Dotter, M., Kempis, C., Tapley, A., & Welsh, T. (2024). SimFire (Version 2.0.1) [Computer software]. https://github.com/mitrefireline/simfire[4] R. C. Rothermel. “A mathematical model for predicting fire spread in wildland fuels”. In: Res. Pap. INT-115. Ogden, UT: U.S. Department of Agriculture, Intermountain Forest and Range Experiment Station. 40 p. 115 (1972). url: https://www.fs.usda.gov/research/treesearch/32533