SharpAI commited on
Commit
a9ccb0d
·
verified ·
1 Parent(s): ce2b3a9

Upload metadata.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. metadata.json +137 -0
metadata.json ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_info": {
3
+ "accuracy_metrics": {
4
+ "mAP_50": 0.4172281317025179,
5
+ "mAP_50_95": 0.30954717883563476,
6
+ "precision": 0.3630021083131599,
7
+ "recall": 0.1404226228051411,
8
+ "f1_score": 0.20250776325548211,
9
+ "total_detections": 25498,
10
+ "total_ground_truth": 36781,
11
+ "class_metrics": {},
12
+ "inference_time_ms": 8.76762205568084,
13
+ "fps": 114.05601127070321,
14
+ "dataset_info": {
15
+ "name": "COCO Dataset - Real Object Detection",
16
+ "classes": 80,
17
+ "test_images": 5000,
18
+ "max_images": 5000,
19
+ "download_size_mb": 1580,
20
+ "estimated_time_minutes": 25,
21
+ "download_url": "mock://create_test_dataset",
22
+ "description": "Microsoft COCO dataset with 80 classes. Use quick_test variant for fast evaluation or full_evaluation for comprehensive testing.",
23
+ "variants": [
24
+ "quick_test",
25
+ "full_evaluation"
26
+ ]
27
+ },
28
+ "evaluation_time": 1756529514.148942
29
+ },
30
+ "benchmark_id": null,
31
+ "benchmark_status": "completed",
32
+ "compression_ratio": 0.9728034523717064,
33
+ "conversion_metadata": {
34
+ "apple_silicon": true,
35
+ "batch_size": 1,
36
+ "compute_unit_selection": "automatic_at_runtime",
37
+ "coremltools_version": "8.3.0",
38
+ "format": "mlpackage",
39
+ "input_shape": [
40
+ 640,
41
+ 640
42
+ ],
43
+ "machine": "arm64",
44
+ "nms_enabled": true,
45
+ "optimization_level": "standard",
46
+ "output_signature": {
47
+ "inputs": [
48
+ {
49
+ "image_info": {
50
+ "color_space": "20",
51
+ "height": 640,
52
+ "width": 640
53
+ },
54
+ "name": "image",
55
+ "type": "imageType"
56
+ },
57
+ {
58
+ "name": "iouThreshold",
59
+ "type": "doubleType"
60
+ },
61
+ {
62
+ "name": "confidenceThreshold",
63
+ "type": "doubleType"
64
+ }
65
+ ],
66
+ "model_author": "Ultralytics",
67
+ "model_description": "Ultralytics YOLO11n model trained on /usr/src/ultralytics/ultralytics/cfg/datasets/coco.yaml",
68
+ "model_version": "8.3.186",
69
+ "outputs": [
70
+ {
71
+ "array_info": {
72
+ "data_type": "65568",
73
+ "shape": []
74
+ },
75
+ "name": "confidence",
76
+ "type": "multiArrayType"
77
+ },
78
+ {
79
+ "array_info": {
80
+ "data_type": "65568",
81
+ "shape": []
82
+ },
83
+ "name": "coordinates",
84
+ "type": "multiArrayType"
85
+ }
86
+ ]
87
+ },
88
+ "platform": "macOS-15.6.1-arm64-arm-64bit",
89
+ "precision": "fp16",
90
+ "processor": "arm",
91
+ "ultralytics_version": "unknown"
92
+ },
93
+ "conversion_time": 8.156583786010742,
94
+ "converted_size_mb": 5.208100318908691,
95
+ "created_at": "2025-08-29T14:26:59.033317",
96
+ "evaluation_dataset": "coco",
97
+ "evaluation_id": "eval_yolo11n_coreml_fp16_auto_mlpackage_auto_fp16_20250829_142659_20250829_215041",
98
+ "evaluation_status": "completed",
99
+ "format": "mlpackage",
100
+ "hardware_target": "auto",
101
+ "has_benchmark": true,
102
+ "huggingface_last_sync": "2025-09-03T17:06:52.978029",
103
+ "huggingface_repo_id": null,
104
+ "huggingface_repo_url": null,
105
+ "huggingface_status": "null",
106
+ "huggingface_uploaded_at": null,
107
+ "id": "yolo11n_coreml_fp16_auto_mlpackage_auto_fp16_20250829_142659",
108
+ "name": "yolo11n_coreml_fp16_auto",
109
+ "optimization_level": "standard",
110
+ "original_size_mb": 5.353702545166016,
111
+ "output_path": "/Users/simba/.aegis-forge/models/converted/yolo11n_coreml_fp16_auto.coreml",
112
+ "performance_data": {
113
+ "fps": 114.05601127070321,
114
+ "inference_time_ms": 8.76762205568084,
115
+ "memory_mb": 0
116
+ },
117
+ "performance_summary": {
118
+ "fps": 114.05601127070321,
119
+ "inference_time_ms": 8.76762205568084,
120
+ "memory_mb": 0
121
+ },
122
+ "precision": "fp16",
123
+ "source_path": "/Users/simba/.aegis-forge/models/original/yolo11n.pt",
124
+ "file_path": "/Users/simba/.aegis-forge/models/converted/yolo11n_coreml_fp16_auto.coreml",
125
+ "original_model_source": "yolo11n_coreml_fp16_auto",
126
+ "conversion_timestamp": "2025-08-29T14:26:59.033317",
127
+ "source_model": "yolo11n_coreml_fp16_auto"
128
+ },
129
+ "performance_metrics": {
130
+ "fps": 114.05601127070321,
131
+ "inference_time_ms": 8.76762205568084,
132
+ "memory_mb": 0
133
+ },
134
+ "hardware_info": {},
135
+ "upload_date": "2025-09-03T20:45:33.564806",
136
+ "tool_version": "1.0.0"
137
+ }