Hugging Face's logo

AvoCahDoe
/
invoice-layout-yolov8s

Object Detection
ultralytics
English
German
yolo
yolov8
invoice
document-layout
document-understanding
ocr-prep
invoice-extraction
Eval Results (legacy)
Model card Files
xet
 Community
AvoCahDoe commited on
Commit
858b7b2
·
verified ·
1 Parent(s): c69e097

Upload metrics/comparison.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. metrics/comparison.json +113 -0
metrics/comparison.json ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "models": [
3
+ {
4
+ "model": "yolov8n",
5
+ "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolov8n",
6
+ "best_epoch": 53,
7
+ "train_box_loss": 1.19897,
8
+ "train_cls_loss": 1.03001,
9
+ "val_box_loss": 1.29424,
10
+ "val_cls_loss": 1.00109,
11
+ "precision": 0.93255,
12
+ "recall": 0.76417,
13
+ "map50": 0.88236,
14
+ "map50_95": 0.5973,
15
+ "test_precision": 0.9502026366186389,
16
+ "test_recall": 0.9592350761984346,
17
+ "test_map50": 0.96,
18
+ "test_map50_95": 0.7167417072510822,
19
+ "test_speed_ms": 0.0
20
+ },
21
+ {
22
+ "model": "yolov8s",
23
+ "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolov8s",
24
+ "best_epoch": 84,
25
+ "train_box_loss": 1.12892,
26
+ "train_cls_loss": 0.98365,
27
+ "val_box_loss": 1.19847,
28
+ "val_cls_loss": 0.92536,
29
+ "precision": 0.89289,
30
+ "recall": 0.79291,
31
+ "map50": 0.85802,
32
+ "map50_95": 0.58125,
33
+ "test_precision": 0.9418900776026258,
34
+ "test_recall": 0.8677204132580655,
35
+ "test_map50": 0.900625,
36
+ "test_map50_95": 0.673915781700938,
37
+ "test_speed_ms": 0.0
38
+ },
39
+ {
40
+ "model": "yolov8m",
41
+ "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolov8m",
42
+ "best_epoch": 96,
43
+ "train_box_loss": 1.35495,
44
+ "train_cls_loss": 1.13978,
45
+ "val_box_loss": 1.50381,
46
+ "val_cls_loss": 1.16088,
47
+ "precision": 0.86048,
48
+ "recall": 0.79786,
49
+ "map50": 0.86459,
50
+ "map50_95": 0.54281,
51
+ "test_precision": 0.9077380952380952,
52
+ "test_recall": 0.8579545454545455,
53
+ "test_map50": 0.8388392857142857,
54
+ "test_map50_95": 0.5289323468472317,
55
+ "test_speed_ms": 0.0
56
+ },
57
+ {
58
+ "model": "yolo11m",
59
+ "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolo11m",
60
+ "best_epoch": 87,
61
+ "train_box_loss": 1.5606,
62
+ "train_cls_loss": 1.49963,
63
+ "val_box_loss": 1.9019,
64
+ "val_cls_loss": 1.35903,
65
+ "precision": 0.85334,
66
+ "recall": 0.81873,
67
+ "map50": 0.88242,
68
+ "map50_95": 0.41246,
69
+ "test_precision": 0.9032503333433675,
70
+ "test_recall": 0.8465909090909092,
71
+ "test_map50": 0.8418105158730158,
72
+ "test_map50_95": 0.4925741071428572,
73
+ "test_speed_ms": 0.0
74
+ },
75
+ {
76
+ "model": "yolov8x",
77
+ "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolov8x",
78
+ "best_epoch": 98,
79
+ "train_box_loss": 1.19512,
80
+ "train_cls_loss": 1.00977,
81
+ "val_box_loss": 1.33924,
82
+ "val_cls_loss": 1.07422,
83
+ "precision": 0.90676,
84
+ "recall": 0.7602,
85
+ "map50": 0.87977,
86
+ "map50_95": 0.59026,
87
+ "test_precision": 0.9144471501244504,
88
+ "test_recall": 0.8734808033471103,
89
+ "test_map50": 0.8756583298524088,
90
+ "test_map50_95": 0.6224458809221967,
91
+ "test_speed_ms": 0.0
92
+ },
93
+ {
94
+ "model": "yolo11x",
95
+ "run_dir": "E:\\invoice-extractor\\training_model\\runs\\comparison\\yolo11x",
96
+ "best_epoch": 85,
97
+ "train_box_loss": 1.43351,
98
+ "train_cls_loss": 1.25472,
99
+ "val_box_loss": 1.29899,
100
+ "val_cls_loss": 0.9381,
101
+ "precision": 0.88984,
102
+ "recall": 0.79349,
103
+ "map50": 0.89438,
104
+ "map50_95": 0.61416,
105
+ "test_precision": 0.9484481709774795,
106
+ "test_recall": 0.8530167875685298,
107
+ "test_map50": 0.87375,
108
+ "test_map50_95": 0.6127151988636363,
109
+ "test_speed_ms": 0.0
110
+ }
111
+ ],
112
+ "dataset": "E:\\invoice-extractor\\training_model\\data\\yolo_annotated\\dataset.yaml"
113
+ }