Datasets › Semantic segmentation dataset on earthquake damage
Semantic segmentation dataset on earthquake damage
This dataset contains 547 social media images taken in the aftermath of various earthquakes. Each image is paired with a pixel-wise semantic segmentation mask that categorizes the scene into three classes:
- Undamaged structures
- Damaged structures
- Debris
The segmentation masks were manually labeled and reviewed to support training and evaluation of machine learning models for pixel-level damage severity estimation.
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- Semantic segmentation dataset on earthquake damage
1 variant name, as the archive lists them.
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