Segmentation multiclass model πŸš€

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

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")
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