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 evaluation/validation_threshold_sweep.csv from rohitm9/surfaceWaterGlobal: direct link, hf CLI and curl.
- Browser
- Download file 768 Bytes
-
https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/evaluation/validation_threshold_sweep.csv
- Command line
-
hf download hf://rohitm9/surfaceWaterGlobal/evaluation/validation_threshold_sweep.csv
-
curl -L -o validation_threshold_sweep.csv https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/evaluation/validation_threshold_sweep.csv
768 Bytes
| eval_mode,threshold,used_tiled_inference,precision,recall,water_iou,dice,accuracy,jaccard,tp,fp,tn,fn | |
| plain,0.3,False,0.7524300977664476,0.897631875502779,0.6929672947197102,0.8994397170432464,0.9643582637346763,0.8271038118090601,97428269,32056542,1070554516,11110957 | |
| plain,0.5,False,0.7661094497187846,0.8849077567588329,0.6966903950391646,0.9010634811298274,0.9654750524749908,0.8295958546505351,96047203,29322877,1073288181,12492023 | |
| tta,0.3,False,0.7515808755438514,0.8995901905547032,0.6934110315481606,0.8995916376292458,0.9643549544839144,0.8273201811576913,97640823,32273104,1070337954,10898403 | |
| tta,0.5,False,0.7669055929599752,0.8854190005003353,0.6976661847097215,0.9014410607882992,0.9656144026466661,0.830158496608391,96102693,29209593,1073401465,12436533 | |