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_eval_summary.json from rohitm9/surfaceWaterGlobal: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/evaluation/validation_eval_summary.json
- Command line
-
hf download hf://rohitm9/surfaceWaterGlobal/evaluation/validation_eval_summary.json
-
curl -L -o validation_eval_summary.json https://huggingface.co/rohitm9/surfaceWaterGlobal/resolve/main/evaluation/validation_eval_summary.json
5.3 kB
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| "model_family": "resnet34_unet", | |
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| "final_valid_jaccard": 0.829596, | |
| "final_valid_dice": 0.901063, | |
| "final_valid_water_iou": 0.69669, | |
| "final_valid_precision": 0.766109, | |
| "final_valid_recall": 0.884908, | |
| "used_tiled_validation": false, | |
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| "threshold_sweep_csv": "/pscratch/sd/r/rohit9/S1ML/training_runs/paper_labelclass_v1/openwater/runs/58321212/width_k16_seed42/s1aef_bottleneck_resnet34_threshold_sweep.csv", | |
| "tile_metrics_csv": "/pscratch/sd/r/rohit9/S1ML/training_runs/paper_labelclass_v1/openwater/runs/58321212/width_k16_seed42/s1aef_bottleneck_resnet34_tile_metrics.csv", | |
| "worst_tiles_csv": "/pscratch/sd/r/rohit9/S1ML/training_runs/paper_labelclass_v1/openwater/runs/58321212/width_k16_seed42/s1aef_bottleneck_resnet34_worst_tiles.csv", | |
| "loss": "ce_dice", | |
| "selection_metric": "water_iou", | |
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| "force_tiled_validation": false, | |
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| "bottleneck_proj_shape": "64->16", | |
| "plain_best_threshold": 0.5, | |
| "plain_best_water_iou": 0.69669, | |
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| "plain_best_recall": 0.884908, | |
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| "best_eval_mode": "tta", | |
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