diff --git a/example.json b/example.json
index ef32350..790c8dd 100644
--- a/example.json
+++ b/example.json
@@ -1,159 +1,6 @@
 {
-  "mlm:name": "Resnet-18 Sentinel-2 ALL MOCO",
-  "mlm:task": "classification",
-  "mlm:framework": "pytorch",
-  "mlm:framework_version": "2.1.2+cu121",
-  "mlm:file_size": 1,
-  "mlm:memory_size": 1,
-  "mlm:input": [
-    {
-      "name": "13 Band Sentinel-2 Batch",
-      "bands": [
-        "B01",
-        "B02",
-        "B03",
-        "B04",
-        "B05",
-        "B06",
-        "B07",
-        "B08",
-        "B8A",
-        "B09",
-        "B10",
-        "B11",
-        "B12"
-      ],
-      "input_array": {
-        "shape": [
-          -1,
-          13,
-          64,
-          64
-        ],
-        "dim_order": "bchw",
-        "data_type": "float32"
-      },
-      "norm_by_channel": true,
-      "norm_type": "z_score",
-      "statistics": {
-        "mean": [
-          1354.40546513,
-          1118.24399958,
-          1042.92983953,
-          947.62620298,
-          1199.47283961,
-          1999.79090914,
-          2369.22292565,
-          2296.82608323,
-          732.08340178,
-          12.11327804,
-          1819.01027855,
-          1118.92391149,
-          2594.14080798
-        ],
-        "stddev": [
-          245.71762908,
-          333.00778264,
-          395.09249139,
-          593.75055589,
-          566.4170017,
-          861.18399006,
-          1086.63139075,
-          1117.98170791,
-          404.91978886,
-          4.77584468,
-          1002.58768311,
-          761.30323499,
-          1231.58581042
-        ]
-      },
-      "pre_processing_function": "https://github.com/microsoft/torchgeo/blob/545abe8326efc2848feae69d0212a15faba3eb00/torchgeo/datamodules/eurosat.py"
-    }
-  ],
-  "mlm:output": [
-    {
-      "task": "classification",
-      "result_array": [
-        {
-          "shape": [
-            -1,
-            10
-          ],
-          "dim_names": [
-            "batch",
-            "class"
-          ],
-          "data_type": "float32"
-        }
-      ],
-      "classification_classes": [
-        {
-          "value": 0,
-          "name": "Annual Crop",
-          "nodata": false
-        },
-        {
-          "value": 1,
-          "name": "Forest",
-          "nodata": false
-        },
-        {
-          "value": 2,
-          "name": "Herbaceous Vegetation",
-          "nodata": false
-        },
-        {
-          "value": 3,
-          "name": "Highway",
-          "nodata": false
-        },
-        {
-          "value": 4,
-          "name": "Industrial Buildings",
-          "nodata": false
-        },
-        {
-          "value": 5,
-          "name": "Pasture",
-          "nodata": false
-        },
-        {
-          "value": 6,
-          "name": "Permanent Crop",
-          "nodata": false
-        },
-        {
-          "value": 7,
-          "name": "Residential Buildings",
-          "nodata": false
-        },
-        {
-          "value": 8,
-          "name": "River",
-          "nodata": false
-        },
-        {
-          "value": 9,
-          "name": "SeaLake",
-          "nodata": false
-        }
-      ]
-    }
-  ],
-  "mlm:runtime": [
-    {
-      "asset": {
-        "href": "."
-      },
-      "source_code": {
-        "href": "."
-      },
-      "accelerator": "cuda",
-      "accelerator_constrained": false,
-      "hardware_summary": "Unknown"
-    }
-  ],
-  "mlm:total_parameters": 11700000,
-  "mlm:pretrained_source": "EuroSat Sentinel-2",
-  "mlm:summary": "Sourced from torchgeo python library,identifier is ResNet18_Weights.SENTINEL2_ALL_MOCO"
-}
+    "type": "Feature",
+    "stac_version": "1.0.0",
+    "id": "resnet-18_sentinel-2_all_moco_classification",
+    "properties": {
+        "start_datetime": 
\ No newline at end of file
diff --git a/stac_model/__main__.py b/stac_model/__main__.py
index 4fbfc32..7c2a1c3 100644
--- a/stac_model/__main__.py
+++ b/stac_model/__main__.py
@@ -1,6 +1,6 @@
 import typer
 from rich.console import Console
-
+import json
 from stac_model import __version__
 from stac_model.examples import eurosat_resnet
 
@@ -35,10 +35,8 @@ def main(
 ) -> None:
     """Generate example spec."""
     ml_model_meta = eurosat_resnet()
-    json_str = ml_model_meta.model_dump_json(indent=2, exclude_none=True, by_alias=True)
-    with open("example.json", "w") as file:
-        file.write(json_str)
-    print(ml_model_meta.model_dump_json(indent=2, exclude_none=True, by_alias=True))
+    with open("example.json", "w") as json_file:
+        json.dump(ml_model_meta.item.to_dict(), json_file, indent=4)
     print("Example model metadata written to ./example.json.")
     return ml_model_meta
 
diff --git a/tests/test_schema.py b/tests/test_schema.py
index 2c12ec9..20154f8 100644
--- a/tests/test_schema.py
+++ b/tests/test_schema.py
@@ -2,18 +2,15 @@
 
 
 @pytest.fixture
-def metadata_json():
+def mlmodel_metadata_item():
     from stac_model.examples import eurosat_resnet
 
     model_metadata_stac_item = eurosat_resnet()
     return model_metadata_stac_item
 
+def test_model_metadata_to_dict(mlmodel_metadata_item):
+    assert mlmodel_metadata_item.item.to_dict()
 
-def test_model_metadata_to_dict(metadata_json):
-    assert metadata_json.to_dict()
-
-
-def test_model_metadata_json_operations(metadata_json):
-    from stac_model.schema import MLModelExtension
-
-    assert MLModelExtension(metadata_json.to_dict())
+def test_validate_model_metadata(mlmodel_metadata_item):
+    import pystac
+    assert pystac.read_dict(mlmodel_metadata_item.item.to_dict())