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_threshold_sweep.json from rohitm9/surfaceWaterGlobal: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/evaluation/planetscope_53_scenes_threshold_sweep.json
- Command line
-
hf download hf://rohitm9/surfaceWaterGlobal/evaluation/planetscope_53_scenes_threshold_sweep.json
-
curl -L -o planetscope_53_scenes_threshold_sweep.json https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/evaluation/planetscope_53_scenes_threshold_sweep.json
3.45 kB
| { | |
| "S1-only (k0, seed42)": { | |
| "scenes": 53, | |
| "valid_pixels": 55127752, | |
| "at_0.30": { | |
| "precision": 0.9333769463386737, | |
| "recall": 0.5816475272019319, | |
| "dice": 0.7166833305556225, | |
| "water_iou": 0.558461794831915 | |
| }, | |
| "at_0.50": { | |
| "precision": 0.9448248558684447, | |
| "recall": 0.504040419389971, | |
| "dice": 0.6573832981359302, | |
| "water_iou": 0.48962842278308366 | |
| }, | |
| "at_0.01": { | |
| "precision": 0.754356754243717, | |
| "recall": 0.8571060185159115, | |
| "dice": 0.8024556633885851, | |
| "water_iou": 0.6700843040677916 | |
| }, | |
| "optimal": { | |
| "threshold": 0.028000000000000018, | |
| "precision": 0.8381725658451422, | |
| "recall": 0.8046638362890978, | |
| "dice": 0.8210764643747137, | |
| "water_iou": 0.6964628659646064 | |
| }, | |
| "per_scene_mean_at_optimal": 0.5532922645477764 | |
| }, | |
| "S1+AEF(t) (k16, seed42)": { | |
| "scenes": 53, | |
| "valid_pixels": 54375145, | |
| "at_0.30": { | |
| "precision": 0.892125362804458, | |
| "recall": 0.9483622715952545, | |
| "dice": 0.9193846454642701, | |
| "water_iou": 0.8507973180329922 | |
| }, | |
| "at_0.50": { | |
| "precision": 0.9040046209519084, | |
| "recall": 0.939394019313825, | |
| "dice": 0.9213596189176597, | |
| "water_iou": 0.8541860986078972 | |
| }, | |
| "at_0.01": { | |
| "precision": 0.7937804108713071, | |
| "recall": 0.9733887653899432, | |
| "dice": 0.8744572330798932, | |
| "water_iou": 0.7769204856362102 | |
| }, | |
| "optimal": { | |
| "threshold": 0.5800000000000004, | |
| "precision": 0.9082319192138927, | |
| "recall": 0.9352955677366938, | |
| "dice": 0.9215650914138105, | |
| "water_iou": 0.8545393737503983 | |
| }, | |
| "per_scene_mean_at_optimal": 0.7583790823031237 | |
| }, | |
| "S1+AEF(t-1) swap (k16, seed42)": { | |
| "scenes": 53, | |
| "valid_pixels": 54375145, | |
| "at_0.30": { | |
| "precision": 0.8821585944515296, | |
| "recall": 0.9458502673581091, | |
| "dice": 0.9128948549934578, | |
| "water_iou": 0.839748444928907 | |
| }, | |
| "at_0.50": { | |
| "precision": 0.8962548890159218, | |
| "recall": 0.9359611899068687, | |
| "dice": 0.9156777980863252, | |
| "water_iou": 0.8444702104875136 | |
| }, | |
| "at_0.01": { | |
| "precision": 0.7875397553353405, | |
| "recall": 0.9717211029920186, | |
| "dice": 0.8699892299452524, | |
| "water_iou": 0.7698946355202461 | |
| }, | |
| "optimal": { | |
| "threshold": 0.5800000000000004, | |
| "precision": 0.9012070888969246, | |
| "recall": 0.9312218607665181, | |
| "dice": 0.9159686572433916, | |
| "water_iou": 0.8449651048964634 | |
| }, | |
| "per_scene_mean_at_optimal": 0.7425087274186601 | |
| }, | |
| "S1+AEF(t-1) trained (k16, seed42)": { | |
| "scenes": 53, | |
| "valid_pixels": 54375145, | |
| "at_0.30": { | |
| "precision": 0.8832006108773788, | |
| "recall": 0.9442044019337096, | |
| "dice": 0.9126842694801897, | |
| "water_iou": 0.8393921322593805 | |
| }, | |
| "at_0.50": { | |
| "precision": 0.8994729533014892, | |
| "recall": 0.9335842338224181, | |
| "dice": 0.9162112059029786, | |
| "water_iou": 0.845378002516013 | |
| }, | |
| "at_0.01": { | |
| "precision": 0.7588016594959417, | |
| "recall": 0.9734948801934392, | |
| "dice": 0.852844202683727, | |
| "water_iou": 0.7434423507939578 | |
| }, | |
| "optimal": { | |
| "threshold": 0.5800000000000004, | |
| "precision": 0.9050210574327717, | |
| "recall": 0.9284043110535167, | |
| "dice": 0.9165635708515412, | |
| "water_iou": 0.8459781729620505 | |
| }, | |
| "per_scene_mean_at_optimal": 0.745307949295693 | |
| } | |
| } | |