Image Segmentation
fastai
PyTorch
geospatial
remote-sensing
semantic-segmentation
sentinel-1
alphaearth
surface-water
Instructions to use rohitm9/surfaceWaterGlobal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use rohitm9/surfaceWaterGlobal with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("rohitm9/surfaceWaterGlobal") - Notebooks
- Google Colab
- Kaggle
Download examples/training_manifest.csv from rohitm9/surfaceWaterGlobal: direct link, hf CLI and curl.
- Browser
- Download file 350 Bytes
-
https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/examples/training_manifest.csv
- Command line
-
hf download hf://rohitm9/surfaceWaterGlobal/examples/training_manifest.csv
-
curl -L -o training_manifest.csv https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/examples/training_manifest.csv
350 Bytes
| sample_id,tile_name,s1_path,aef_path,label_path | |
| demo_region,tile_0001.tif,/absolute/path/to/data/s1/tile_0001.tif,/absolute/path/to/data/aef/tile_0001.tif,/absolute/path/to/data/labels/tile_0001.tif | |
| demo_region,tile_0002.tif,/absolute/path/to/data/s1/tile_0002.tif,/absolute/path/to/data/aef/tile_0002.tif,/absolute/path/to/data/labels/tile_0002.tif | |