7_AAAI

💾 AAAI-Buildings

• AAAI-Buildings is a dataset for segmentation of buildings in hurricane-affected areas in high-resolution imagery. A dataset of high resolution (m) orthorectified aerial imagery, labeled according to the following classes:

1. Other
2. Building
3. Flooded Building

• dataset: https://github.com/FrontierDevelopmentLab/multi3net
• dataset citation: Rudner, T. G. J.; Rußwurm, M.; Fil, J.; Pelich, R.; Bischke, B.; Kopačková, V.; Biliński, P. Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. In AAAI 2019. https://arxiv.org/pdf/1812.01756.pdf

Example labeled imagery

Model for 1024x1024 imagery, building/no-building

• Zenodo release: https://doi.org/10.5281/zenodo.7607895
• model citation: Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for segmentation of buildings of RGB 1024x1024 high-res. images (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7607895
• Classes:

1. Other
2. Building

Training curve for the best model:

Some example validation outputs:

Model for 1024x1024 imagery, flooded-building/other

• Zenodo release: https://doi.org/10.5281/zenodo.7622733
• model citation: Buscombe, Daniel. (2023). Doodleverse/Segmentation Zoo/Seg2Map Res-UNet models for segmentation of AAAI/flooded buildings in RGB 1024x1024 high-res. images (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7622733
• Classes:

1. Other
2. Flooded Building

Training curve for the best model:

Some example validation outputs: