Upload: multisensor_single_1dpwdeeplabv3.json

single/multisensor_single_1dpwdeeplabv3.json

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+{
+  "type": "Feature",
+  "stac_version": "1.1.0",
+  "stac_extensions": [
+    "https://stac-extensions.github.io/mlm/v1.5.0/schema.json",
+    "https://stac-extensions.github.io/file/v2.1.0/schema.json"
+  ],
+  "id": "1DPWDEEPLABV3_CLOUDMASK_FT_2025-10-27",
+  "properties": {
+    "datetime": "2025-10-27T09:09:20Z",
+    "created": "2025-10-27T09:09:20Z",
+    "updated": "2025-12-11T17:27:11.790336Z",
+    "title": "1DPWDEEPLABV3 Cloud Detection Model",
+    "description": "DeepLabV3 + PixelWise MLP architecture fine-tuned for cloud detection in VGT-1, VGT-2, and PROBA-V satellite imagery from the FDR4VGT harmonized dataset.",
+    "mlm:name": "1dpwdeeplabv3_fdr4vgt_cloudmask_ft",
+    "mlm:architecture": "DeepLabV3 + PixelWise MLP",
+    "mlm:tasks": [
+      "semantic-segmentation"
+    ],
+    "mlm:framework": "pytorch",
+    "mlm:framework_version": "2.5.1+cu121",
+    "mlm:accelerator": "cuda",
+    "mlm:memory_size": 90102208,
+    "mlm:batch_size_suggestion": 32,
+    "mlm:total_parameters": 12649538,
+    "mlm:input": [
+      {
+        "name": "reflectance",
+        "bands": [
+          "Blue",
+          "Red",
+          "NIR",
+          "SWIR"
+        ],
+        "input": {
+          "shape": [
+            -1,
+            4,
+            512,
+            512
+          ],
+          "dim_order": [
+            "batch",
+            "channel",
+            "height",
+            "width"
+          ],
+          "data_type": "float32"
+        },
+        "norm": {
+          "type": "raw_toc_reflectance",
+          "range": [
+            0,
+            10000
+          ]
+        }
+      }
+    ],
+    "mlm:output": [
+      {
+        "name": "cloud_probability",
+        "result": {
+          "shape": [
+            -1,
+            1,
+            512,
+            512
+          ],
+          "dim_order": [
+            "batch",
+            "channel",
+            "height",
+            "width"
+          ],
+          "data_type": "float32"
+        },
+        "recommended_threshold": 0.4848,
+        "standard_threshold": 0.5,
+        "value_range": [
+          0.0,
+          1.0
+        ],
+        "description": "Per-pixel cloud probability (Sigmoid activated)."
+      }
+    ],
+    "mlm:hyperparameters": {
+      "batch_size": "Dynamic (1-256)",
+      "learning_rate": 0.0001,
+      "training_epochs": 25,
+      "final_val_loss": 0.0611
+    },
+    "custom:dynamic_batch": true,
+    "custom:batch_range": [
+      1,
+      256
+    ],
+    "custom:sensors": [
+      "VGT-1",
+      "VGT-2",
+      "PROBA-V"
+    ],
+    "custom:spatial_resolution": "1km (VGT) / 300m (PROBA-V)",
+    "file:size": 60068139,
+    "dependencies": [
+      "torch>=2.0.0"
+    ]
+  },
+  "assets": {
+    "model": {
+      "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/multisensor_single_1dpwdeeplabv3.pt2",
+      "type": "application/octet-stream; application=pytorch",
+      "title": "PyTorch model weights (Dynamic Batch)",
+      "roles": [
+        "mlm:model",
+        "data"
+      ]
+    },
+    "load": {
+      "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/load.py",
+      "type": "application/x-python-code",
+      "roles": [
+        "code"
+      ]
+    }
+  },
+  "links": [
+    {
+      "rel": "license",
+      "href": "https://mit-license.org/",
+      "type": "text/html"
+    }
+  ]
+}