| | --- |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # Landslide4Sense |
| | Paper: |
| | - https://huggingface.co/papers/2507.01123 |
| | ---- |
| |
|
| | ## Dataset Description |
| | This dataset is originally introduced in GitHub repo [Landslide4Sense-2022](https://github.com/iarai/Landslide4Sense-2022). |
| |
|
| | 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: |
| |
|
| | - **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. |
| |
|
| | - **Slope data** from [ALOS PALSAR](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-radar-alos-palsar-radar-processing-system): B13. |
| |
|
| | - **Digital elevation model (DEM)** from [ALOS PALSAR](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-radar-alos-palsar-radar-processing-system): B14. |
| |
|
| | 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. |
| |
|
| | ## Dataset Structure |
| | The dataset is structured as follows: |
| | ``` |
| | ├── annotations/ |
| | │ ├── test/ |
| | | | ├── mask_1.h5 |
| | | | ├── ... |
| | | | ├── mask_800.h5 |
| | │ ├── train/ |
| | | | ├── mask_1.h5 |
| | | | ├── ... |
| | | | ├── mask_3799.h5 |
| | │ ├── validation/ |
| | | | ├── mask_1.h5 |
| | | | ├── ... |
| | | | ├── mask_245.h5 |
| | ├── images/ |
| | ├── test/ |
| | | ├── image_1.h5 |
| | | ├── ... |
| | | ├── image_800.h5 |
| | ├── train/ |
| | | ├── image_1.h5 |
| | | ├── ... |
| | | ├── image_3799.h5 |
| | ├── validation/ |
| | ├── image_1.h5 |
| | ├── ... |
| | ├── image_245.h5 |
| | ``` |
| |
|
| | ## Annotation Description |
| | Mapping classes used in the annotation: |
| | | Class Number | Class Name | Class Code in the Label | |
| | :-: | :-: | :-: |
| | | 1 | Non-landslide | 0 | |
| | | 2 | Landslide | 1 | |
