| --- |
| tags: |
| - deep-learning |
| - pytorch |
| --- |
| |
| # Segmentation multiclass model 🚀 |
|
|
| This model is a SegFormer5 trained on Sentinel2 images and CLCPlusBackBone Copernicus labels. The Sentinel2 images have 14 bands (original 12 bands + NDVI and NDWI) and their size is 250*250 pixels (resolution = 10m). |
| |
| ## Description of the classes |
| |
| - 1: Sealed |
| - 2: Conifers |
| - 3: Deciduous trees |
| - 4: Evergreen trees |
| - 5: Shrubs |
| - 6: Perennial herbaceous plants |
| - 7: Seasonal herbaceous plants |
| - 8: Lichens/mosses |
| - 9: Rocks, desert |
| - 10: Water |
| - 11: Snow and ice |
| - 0: Other |
| |
| ## Download the model |
| ```python |
| from huggingface_hub import hf_hub_download |
| |
| model_path = hf_hub_download("InseeFrLab/hackathon-ntts-2025-segmentation", "segmentation-multiclass-model-french-nsi-hackathon-ntts-2025.pth") |
| ``` |
