Image Segmentation
TerraTorch
English
Pytorch
mmsegmentation
segmentation
burn scars
Geospatial
Foundation model
Instructions to use ibm-nasa-geospatial/Prithvi-EO-1.0-100M-burn-scar 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-burn-scar with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("ibm-nasa-geospatial/Prithvi-EO-1.0-100M-burn-scar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad7efe99bf39120759c16e7f6cd9dc56b0aa8bb26ec87fc4eced3660d536bd86
- Size of remote file:
- 1.2 GB
- SHA256:
- ac2fc0e32de3bd96d64d711db7579c7a9fbd1e5377c756e2d6cb8accab6e3008
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.