Upload: ensemble.json

ensemble/mlm.json

@@ -40,9 +40,9 @@
     90
   ],
   "properties": {
-    "datetime": "2025-11-14T16:22:59Z",
-    "created": "2025-11-14T16:22:59Z",
-    "updated": "2025-11-14T16:22:59Z",
+    "datetime": "2025-11-14T20:56:53Z",
+    "created": "2025-11-14T20:56:53Z",
+    "updated": "2025-11-14T20:56:53Z",
     "description": "Ensemble of 6 fine-tuned DeepLabV3/UNet++/LinkNet models for cloud detection in VGT-1, VGT-2, and PROBA-V imagery. Use load.py for inference.",
     "title": "Ensemble Cloud Detection Model (6 Models) - VGT1/VGT2/Proba-V",
     "mlm:name": "ensemble_fdr4vgt_cloudmask_ft",
@@ -141,7 +141,7 @@
     "custom:export_format": "torch.export.pt2",
     "custom:has_sigmoid": true,
     "custom:sigmoid_location": "built-in wrapper",
-    "custom:export_datetime": "2025-11-14T16:22:59Z",
+    "custom:export_datetime": "2025-11-14T20:56:53Z",
     "custom:project": "FDR4VGT",
     "custom:project_url": "https://fdr4vgt.eu/",
     "custom:sensors": [
@@ -178,6 +178,15 @@
     }
   ],
   "assets": {
+    "load": {
+      "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/load.py",
+      "type": "application/x-python-code",
+      "title": "Ensemble model loader",
+      "description": "Python code to load all models and combine them into an EnsembleModel class.",
+      "roles": [
+        "code"
+      ]
+    },
     "example_data": {
       "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/example_data.safetensor",
       "type": "application/octet-stream; application=safetensors",
@@ -200,10 +209,10 @@
         "data"
       ]
     },
-    "model_02_1dpwdeeplabv3": {
+    "model_03_1dpwdeeplabv3": {
       "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/ft_g_1dpwdeeplabv3.pt2",
       "type": "application/octet-stream; application=pytorch",
-      "title": "Model 2: 1dpwdeeplabv3_fdr4vgt_cloudmask_ft",
+      "title": "Model 3: 1dpwdeeplabv3_fdr4vgt_cloudmask_ft",
       "description": "The weights of the 1DPWDEEPLABV3 model in torch.export .pt2 format with built-in sigmoid activation.",
       "mlm:artifact_type": "torch.export.pt2",
       "roles": [
@@ -212,10 +221,10 @@
         "data"
       ]
     },
-    "model_03_1dpwseg": {
+    "model_04_1dpwseg": {
       "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/ft_g_1dpwseg.pt2",
       "type": "application/octet-stream; application=pytorch",
-      "title": "Model 3: 1dpwseg_fdr4vgt_cloudmask_ft",
+      "title": "Model 4: 1dpwseg_fdr4vgt_cloudmask_ft",
       "description": "The weights of the 1DPWSEG model in torch.export .pt2 format with built-in sigmoid activation.",
       "mlm:artifact_type": "torch.export.pt2",
       "roles": [
@@ -224,10 +233,10 @@
         "data"
       ]
     },
-    "model_04_1dpwunet": {
+    "model_05_1dpwunet": {
       "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/ft_g_1dpwunet.pt2",
       "type": "application/octet-stream; application=pytorch",
-      "title": "Model 4: 1dpwunet_fdr4vgt_cloudmask_ft",
+      "title": "Model 5: 1dpwunet_fdr4vgt_cloudmask_ft",
       "description": "The weights of the 1DPWUNET model in torch.export .pt2 format with built-in sigmoid activation.",
       "mlm:artifact_type": "torch.export.pt2",
       "roles": [
@@ -236,10 +245,10 @@
         "data"
       ]
     },
-    "model_05_unetpp": {
+    "model_06_unetpp": {
       "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/ft_g_unetpp.pt2",
       "type": "application/octet-stream; application=pytorch",
-      "title": "Model 5: unetpp_fdr4vgt_cloudmask_ft",
+      "title": "Model 6: unetpp_fdr4vgt_cloudmask_ft",
       "description": "The weights of the UNETPP model in torch.export .pt2 format with built-in sigmoid activation.",
       "mlm:artifact_type": "torch.export.pt2",
       "roles": [
@@ -248,10 +257,10 @@
         "data"
       ]
     },
-    "model_06_unet": {
+    "model_07_unet": {
       "href": "https://huggingface.co/isp-uv-es/FDR4VGT-CLOUD/resolve/main/single/ft_g_unet.pt2",
       "type": "application/octet-stream; application=pytorch",
-      "title": "Model 6: unet_fdr4vgt_cloudmask_ft",
+      "title": "Model 7: unet_fdr4vgt_cloudmask_ft",
       "description": "The weights of the UNET model in torch.export .pt2 format with built-in sigmoid activation.",
       "mlm:artifact_type": "torch.export.pt2",
       "roles": [