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--- |
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tags: |
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- deep-learning |
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- pytorch |
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--- |
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# Segmentation multiclass model 🚀 |
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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). |
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## Description of the classes |
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- 1: Sealed |
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- 2: Conifers |
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- 3: Deciduous trees |
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- 4: Evergreen trees |
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- 5: Shrubs |
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- 6: Perennial herbaceous plants |
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- 7: Seasonal herbaceous plants |
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- 8: Lichens/mosses |
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- 9: Rocks, desert |
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- 10: Water |
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- 11: Snow and ice |
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- 0: Other |
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## Download the model |
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```python |
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from huggingface_hub import hf_hub_download |
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model_path = hf_hub_download("InseeFrLab/hackathon-ntts-2025-segmentation", "segmentation-multiclass-model-french-nsi-hackathon-ntts-2025.pth") |
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``` |
