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/planetscope_53_scenes_ablations.csv from rohitm9/surfaceWaterGlobal: direct link, hf CLI and curl.
- Browser
- Download file 736 Bytes
-
https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/evaluation/planetscope_53_scenes_ablations.csv
- Command line
-
hf download hf://rohitm9/surfaceWaterGlobal/evaluation/planetscope_53_scenes_ablations.csv
-
curl -L -o planetscope_53_scenes_ablations.csv https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/evaluation/planetscope_53_scenes_ablations.csv
736 Bytes
| ablation,value,seeds,threshold,per_scene_water_iou_mean,per_scene_water_iou_std,recall_mean,recall_std | |
| aef_width,0,3,0.5,0.410534,0.066515,0.527805,0.104088 | |
| aef_width,1,3,0.5,0.732348,0.011767,0.90711,0.013364 | |
| aef_width,2,3,0.5,0.726668,0.008763,0.902477,0.013294 | |
| aef_width,3,3,0.5,0.751824,0.0048,0.93289,0.004121 | |
| aef_width,4,3,0.5,0.751322,0.001069,0.931271,0.001701 | |
| aef_width,8,3,0.5,0.757786,0.002387,0.937638,0.002277 | |
| aef_width,16,3,0.5,0.757296,0.001245,0.945384,0.004373 | |
| training_tiles,1000,3,0.5,0.591603,0.035718,0.785795,0.037095 | |
| training_tiles,2000,3,0.5,0.750552,0.005684,0.923883,0.007505 | |
| training_tiles,3000,3,0.5,0.7521,0.003365,0.942507,0.006518 | |
| training_tiles,4222,3,0.5,0.757296,0.001245,0.945384,0.004373 | |