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Upload: multisensor_ensemble.json

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+ {
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+ "type": "Feature",
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+ "id": "multisensor_ensemble",
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+ "properties": {
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+ "datetime": "2025-10-27T11:30:27.245518Z",
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+ "title": "Hybrid Cloud Model (1DPWDEEPLABV3)",
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+ "description": "Operational cloud masking model. Combines the high-performance predictions of **1DPWDEEPLABV3** with robust uncertainty estimation derived from a 6-model ensemble.",
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+ "mlm:name": "multisensor_ensemble",
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+ "mlm:framework": "pytorch",
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+ "mlm:framework_version": "2.5.1+cu121",
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+ "mlm:architecture": "1DPWDEEPLABV3 + EnsembleStd",
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+ "mlm:total_parameters": 42486538,
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+ "mlm:tasks": [
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+ "segmentation",
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+ "cloud-detection"
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+ "mlm:hyperparameters": {
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+ "batch_size": "Dynamic (1-256)",
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+ "learning_rate": 0.0001,
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+ "training_epochs": 25,
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+ "final_val_loss": 0.0611
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+ },
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+ "custom:sensors": [
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+ "Proba-V",
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+ "Sentinel-3"
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+ ],
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+ "custom:spatial_resolution": "100m / 300m",
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+ "custom:project": "FDR4VGT Cloud Masking",
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+ "custom:project_url": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD",
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+ "mlm:output": [
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+ "description": "Cloud probability map.",
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+ "assets": {
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+ "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/ensemble/multisensor_ensemble.pt2",
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+ "title": "PyTorch 2.0 Exported Model"
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+ "rel": "license",
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+ "href": "https://mit-license.org/",
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+ }
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+ }