File size: 3,631 Bytes
858b7b2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
{
  "models": [
    {
      "model": "yolov8n",
      "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolov8n",
      "best_epoch": 53,
      "train_box_loss": 1.19897,
      "train_cls_loss": 1.03001,
      "val_box_loss": 1.29424,
      "val_cls_loss": 1.00109,
      "precision": 0.93255,
      "recall": 0.76417,
      "map50": 0.88236,
      "map50_95": 0.5973,
      "test_precision": 0.9502026366186389,
      "test_recall": 0.9592350761984346,
      "test_map50": 0.96,
      "test_map50_95": 0.7167417072510822,
      "test_speed_ms": 0.0
    },
    {
      "model": "yolov8s",
      "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolov8s",
      "best_epoch": 84,
      "train_box_loss": 1.12892,
      "train_cls_loss": 0.98365,
      "val_box_loss": 1.19847,
      "val_cls_loss": 0.92536,
      "precision": 0.89289,
      "recall": 0.79291,
      "map50": 0.85802,
      "map50_95": 0.58125,
      "test_precision": 0.9418900776026258,
      "test_recall": 0.8677204132580655,
      "test_map50": 0.900625,
      "test_map50_95": 0.673915781700938,
      "test_speed_ms": 0.0
    },
    {
      "model": "yolov8m",
      "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolov8m",
      "best_epoch": 96,
      "train_box_loss": 1.35495,
      "train_cls_loss": 1.13978,
      "val_box_loss": 1.50381,
      "val_cls_loss": 1.16088,
      "precision": 0.86048,
      "recall": 0.79786,
      "map50": 0.86459,
      "map50_95": 0.54281,
      "test_precision": 0.9077380952380952,
      "test_recall": 0.8579545454545455,
      "test_map50": 0.8388392857142857,
      "test_map50_95": 0.5289323468472317,
      "test_speed_ms": 0.0
    },
    {
      "model": "yolo11m",
      "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolo11m",
      "best_epoch": 87,
      "train_box_loss": 1.5606,
      "train_cls_loss": 1.49963,
      "val_box_loss": 1.9019,
      "val_cls_loss": 1.35903,
      "precision": 0.85334,
      "recall": 0.81873,
      "map50": 0.88242,
      "map50_95": 0.41246,
      "test_precision": 0.9032503333433675,
      "test_recall": 0.8465909090909092,
      "test_map50": 0.8418105158730158,
      "test_map50_95": 0.4925741071428572,
      "test_speed_ms": 0.0
    },
    {
      "model": "yolov8x",
      "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolov8x",
      "best_epoch": 98,
      "train_box_loss": 1.19512,
      "train_cls_loss": 1.00977,
      "val_box_loss": 1.33924,
      "val_cls_loss": 1.07422,
      "precision": 0.90676,
      "recall": 0.7602,
      "map50": 0.87977,
      "map50_95": 0.59026,
      "test_precision": 0.9144471501244504,
      "test_recall": 0.8734808033471103,
      "test_map50": 0.8756583298524088,
      "test_map50_95": 0.6224458809221967,
      "test_speed_ms": 0.0
    },
    {
      "model": "yolo11x",
      "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolo11x",
      "best_epoch": 85,
      "train_box_loss": 1.43351,
      "train_cls_loss": 1.25472,
      "val_box_loss": 1.29899,
      "val_cls_loss": 0.9381,
      "precision": 0.88984,
      "recall": 0.79349,
      "map50": 0.89438,
      "map50_95": 0.61416,
      "test_precision": 0.9484481709774795,
      "test_recall": 0.8530167875685298,
      "test_map50": 0.87375,
      "test_map50_95": 0.6127151988636363,
      "test_speed_ms": 0.0
    }
  ],
  "dataset": "E:\\invoice-extractor\\training_model\\data\\yolo_annotated\\dataset.yaml"
}