| | --- |
| | 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") |
| | ``` |
