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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ ## Dataset Structure
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+ The dataset is structured as follows:
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+ ```
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+ β”œβ”€β”€ annotations/
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+ β”‚ β”œβ”€β”€ test/
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+ | | β”œβ”€β”€ mask_1.h5
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+ | | β”œβ”€β”€ ...
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+ | | β”œβ”€β”€ mask_800.h5
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+ β”‚ β”œβ”€β”€ train/
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+ | | β”œβ”€β”€ mask_1.h5
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+ | | β”œβ”€β”€ ...
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+ | | β”œβ”€β”€ mask_3799.h5
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+ β”‚ β”œβ”€β”€ validation/
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+ | | β”œβ”€β”€ mask_1.h5
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+ | | β”œβ”€β”€ ...
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+ | | β”œβ”€β”€ mask_245.h5
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+ β”œβ”€β”€ images/
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+ β”œβ”€β”€ test/
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+ | β”œβ”€β”€ image_1.h5
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+ | β”œβ”€β”€ ...
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+ | β”œβ”€β”€ image_800.h5
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+ β”œβ”€β”€ train/
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+ | β”œβ”€β”€ image_1.h5
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+ | β”œβ”€β”€ ...
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+ | β”œβ”€β”€ image_3799.h5
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+ β”œβ”€β”€ validation/
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+ β”œβ”€β”€ image_1.h5
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+ β”œβ”€β”€ ...
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+ β”œβ”€β”€ image_245.h5
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+ ```
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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 |