6_XBD
- XBD-hurricanes subset is a dataset for segmentation of buildings in hurricane-affected areas in high-resolution imagery. A dataset of high resolution (cm - m) oblique aerial imagery, labeled according to the following classes:
- No-damage
- Minor-damage
- Major-damage
- No-building
- dataset: https://arxiv.org/abs/1911.09296
- dataset citation: Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric Heim, Jigar Doshi, Keane Lucas, Howie Choset, and Matthew Gaston. Creating xbd: A dataset for assessing building damage from satellite imagery. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2019. https://arxiv.org/abs/1911.09296
- Zenodo release: https://zenodo.org/record/7613212
- model citation: Buscombe, Daniel. (2023). Doodleverse/Segmentation Zoo/Seg2Map SegFormer models for segmentation of xBD/buildings in RGB 768x768 high-res. images (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7613212
- classes: 1. other, 2. building
Training curve for the best model:
Some example validation outputs:
- Zenodo release: https://doi.org/10.5281/zenodo.7613175
- model citation: Buscombe, Daniel. (2023). Doodleverse/Segmentation Zoo/Seg2Map SegFormer models for segmentation of xBD/damaged buildings in RGB 768x768 high-res. images (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7613175
- classes: 1. no-damage, 2. minor-damage, 3. major-damage, 4. no building
Training curve for the best model:
Some example validation outputs:
