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---
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size_categories:
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- 1K<n<10K
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---
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# Landslide4Sense
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## Dataset Description
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This dataset is originally introduced in GitHub repo [Landslide4Sense-2022](https://github.com/iarai/Landslide4Sense-2022).
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The Landslide4Sense dataset has three splits, training/validation/test, consisting of 3799, 245, and 800 image patches, respectively. Each image patch is a composite of 14 bands that include:
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- **Multispectral data** from [Sentinel-2](https://sentinel.esa.int/web/sentinel/missions/sentinel-2): B1, B2, B3, B4, B5, B6, B7, B8, B9, B10, B11, B12.
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- **Slope data** from [ALOS PALSAR](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-radar-alos-palsar-radar-processing-system): B13.
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- **Digital elevation model (DEM)** from [ALOS PALSAR](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-radar-alos-palsar-radar-processing-system): B14.
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All bands in the competition dataset are resized to the resolution of ~10m per pixel. The image patches have the size of 128 x 128 pixels and are labeled pixel-wise.
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## Dataset Structure
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The dataset is structured as follows:
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```
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├── annotations/
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│ ├── test/
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| | ├── mask_1.h5
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| | ├── ...
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| | ├── mask_800.h5
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│ ├── train/
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| | ├── mask_1.h5
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| | ├── ...
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| | ├── mask_3799.h5
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│ ├── validation/
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| | ├── mask_1.h5
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| | ├── ...
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| | ├── mask_245.h5
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├── images/
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├── test/
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| ├── image_1.h5
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| ├── ...
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| ├── image_800.h5
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├── train/
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| ├── image_1.h5
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| ├── ...
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| ├── image_3799.h5
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├── validation/
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├── image_1.h5
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├── ...
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├── image_245.h5
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```
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## Annotation Description
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Mapping classes used in the annotation:
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| Class Number | Class Name | Class Code in the Label |
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:-: | :-: | :-:
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| 1 | Non-landslide | 0 |
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| 2 | Landslide | 1 |
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