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models.json

@@ -0,0 +1,54 @@
+{
+  "manifest_version": 1,
+  "updated_at": "2026-04-10",
+  "min_app_version": "1.0",
+  "categories": [
+    {
+      "id": "depth",
+      "name": "Monocular Depth Estimation",
+      "icon": "cube.transparent",
+      "order": 1
+    }
+  ],
+  "models": [
+    {
+      "id": "moge2_vitb_normal_504",
+      "name": "MoGe-2 ViT-B (504×504)",
+      "subtitle": "Microsoft, CVPR 2025",
+      "category_id": "depth",
+      "description_md": "Monocular geometry from a single image. Predicts metric depth, surface normals, and a confidence mask in one forward pass.\n\nBased on a DINOv2 ViT-B/14 backbone with three task heads. The successor to MiDaS-style relative depth: depth comes out in real meters.",
+      "thumbnail_url": null,
+      "demo": {
+        "template": "depth_visualization",
+        "config": {
+          "input_size": 504,
+          "output_keys": ["depth", "normal", "mask", "metric_scale"],
+          "depth_unit": "meters"
+        }
+      },
+      "files": [
+        {
+          "name": "MoGe2_ViTB_Normal_504.mlpackage.zip",
+          "url": "https://huggingface.co/mlboydaisuke/coreml-zoo/resolve/main/moge2/MoGe2_ViTB_Normal_504.mlpackage.zip",
+          "archive": "zip",
+          "size_bytes": 193312088,
+          "sha256": "f60cfb4804707a489d99e24453188cd31ddcabb299bbf6da4507edc9cecbf9e7",
+          "compute_units": "all"
+        }
+      ],
+      "requirements": {
+        "min_ios": "17.0",
+        "min_ram_mb": 600
+      },
+      "license": {
+        "name": "MIT",
+        "url": "https://github.com/microsoft/MoGe/blob/main/LICENSE"
+      },
+      "upstream": {
+        "name": "microsoft/MoGe",
+        "url": "https://github.com/microsoft/MoGe",
+        "year": 2025
+      }
+    }
+  ]
+}