Image Segmentation
TerraTorch
English
Pytorch
mmsegmentation
segmentation
Crop Classification
Multi Temporal
Geospatial
Foundation model
Instructions to use ibm-nasa-geospatial/Prithvi-EO-1.0-100M-multi-temporal-crop-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TerraTorch
How to use ibm-nasa-geospatial/Prithvi-EO-1.0-100M-multi-temporal-crop-classification with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("ibm-nasa-geospatial/Prithvi-EO-1.0-100M-multi-temporal-crop-classification") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 79bd3f8aa2705e9e466fbe5764d2f810281eeff23f6a45e3fcd202eb3d8eb2aa
- Size of remote file:
- 1.2 MB
- SHA256:
- 6771a5577852320a91a7e18978991b3350b60b76b5d797f6e433ababfe47ee5d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.