Upload metadata.json with huggingface_hub

metadata.json

@@ -0,0 +1,137 @@
+{
+  "model_info": {
+    "accuracy_metrics": {
+      "mAP_50": 0.4297003556405582,
+      "mAP_50_95": 0.32171395981389483,
+      "precision": 0.3740014945326178,
+      "recall": 0.13562922944206415,
+      "f1_score": 0.1990678039111289,
+      "total_detections": 24598,
+      "total_ground_truth": 36781,
+      "class_metrics": {},
+      "inference_time_ms": 11.00840794405085,
+      "fps": 90.83965684069864,
+      "dataset_info": {
+        "name": "COCO Dataset - Real Object Detection",
+        "classes": 80,
+        "test_images": 5000,
+        "max_images": 5000,
+        "download_size_mb": 1580,
+        "estimated_time_minutes": 25,
+        "download_url": "mock://create_test_dataset",
+        "description": "Microsoft COCO dataset with 80 classes. Use quick_test variant for fast evaluation or full_evaluation for comprehensive testing.",
+        "variants": [
+          "quick_test",
+          "full_evaluation"
+        ]
+      },
+      "evaluation_time": 1756696485.667147
+    },
+    "benchmark_id": null,
+    "benchmark_status": "completed",
+    "compression_ratio": 0.5314898152174515,
+    "conversion_metadata": {
+      "apple_silicon": true,
+      "batch_size": 1,
+      "compute_unit_selection": "automatic_at_runtime",
+      "coremltools_version": "8.3.0",
+      "format": "mlpackage",
+      "input_shape": [
+        640,
+        640
+      ],
+      "machine": "arm64",
+      "nms_enabled": true,
+      "optimization_level": "standard",
+      "output_signature": {
+        "inputs": [
+          {
+            "image_info": {
+              "color_space": "20",
+              "height": 640,
+              "width": 640
+            },
+            "name": "image",
+            "type": "imageType"
+          },
+          {
+            "name": "iouThreshold",
+            "type": "doubleType"
+          },
+          {
+            "name": "confidenceThreshold",
+            "type": "doubleType"
+          }
+        ],
+        "model_author": "Ultralytics",
+        "model_description": "Ultralytics YOLOv12n model ",
+        "model_version": "8.3.186",
+        "outputs": [
+          {
+            "array_info": {
+              "data_type": "65568",
+              "shape": []
+            },
+            "name": "confidence",
+            "type": "multiArrayType"
+          },
+          {
+            "array_info": {
+              "data_type": "65568",
+              "shape": []
+            },
+            "name": "coordinates",
+            "type": "multiArrayType"
+          }
+        ]
+      },
+      "platform": "macOS-15.6.1-arm64-arm-64bit",
+      "precision": "int8",
+      "processor": "arm",
+      "ultralytics_version": "unknown"
+    },
+    "conversion_time": 41.382651805877686,
+    "converted_size_mb": 2.8359594345092773,
+    "created_at": "2025-08-29T17:03:38.349775",
+    "evaluation_dataset": "coco",
+    "evaluation_id": "eval_yolo12n_coreml_int8_auto_mlpackage_auto_int8_20250829_170338_20250831_201320",
+    "evaluation_status": "completed",
+    "format": "mlpackage",
+    "hardware_target": "auto",
+    "has_benchmark": true,
+    "huggingface_last_sync": null,
+    "huggingface_repo_id": null,
+    "huggingface_repo_url": null,
+    "huggingface_status": null,
+    "huggingface_uploaded_at": null,
+    "id": "yolo12n_coreml_int8_auto_mlpackage_auto_int8_20250829_170338",
+    "name": "yolo12n_coreml_int8_auto",
+    "optimization_level": "standard",
+    "original_size_mb": 5.335867881774902,
+    "output_path": "/Users/simba/.aegis-forge/models/converted/yolo12n_coreml_int8_auto.coreml",
+    "performance_data": {
+      "fps": 90.83965684069864,
+      "inference_time_ms": 11.00840794405085,
+      "memory_mb": 0
+    },
+    "performance_summary": {
+      "fps": 90.83965684069864,
+      "inference_time_ms": 11.00840794405085,
+      "memory_mb": 0
+    },
+    "precision": "int8",
+    "source_path": "/Users/simba/.aegis-forge/models/original/yolo12n.pt",
+    "file_path": "/Users/simba/.aegis-forge/models/converted/yolo12n_coreml_int8_auto.coreml",
+    "original_model_source": "yolo12n_coreml_int8_auto",
+    "conversion_timestamp": "2025-08-29T17:03:38.349775",
+    "source_model": "yolo12n_coreml_int8_auto"
+  },
+  "performance_metrics": {
+    "fps": 90.83965684069864,
+    "inference_time_ms": 11.00840794405085,
+    "memory_mb": 0
+  },
+  "hardware_info": {},
+  "upload_date": "2025-09-03T20:46:34.505747",
+  "tool_version": "1.0.0"
+}