hdnh2006 commited on
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1 Parent(s): 7a49537

add other yolov8 models

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  1. yolov8l/BoxF1_curve.png +0 -0
  2. yolov8l/BoxPR_curve.png +0 -0
  3. yolov8l/BoxP_curve.png +0 -0
  4. yolov8l/BoxR_curve.png +0 -0
  5. yolov8l/MaskF1_curve.png +0 -0
  6. yolov8l/MaskPR_curve.png +0 -0
  7. yolov8l/MaskP_curve.png +0 -0
  8. yolov8l/MaskR_curve.png +0 -0
  9. yolov8l/args.yaml +105 -0
  10. yolov8l/confusion_matrix.png +0 -0
  11. yolov8l/confusion_matrix_normalized.png +0 -0
  12. yolov8l/labels.jpg +0 -0
  13. yolov8l/labels_correlogram.jpg +0 -0
  14. yolov8l/results.csv +101 -0
  15. yolov8l/results.png +0 -0
  16. yolov8l/train_batch0.jpg +0 -0
  17. yolov8l/train_batch1.jpg +0 -0
  18. yolov8l/train_batch2.jpg +0 -0
  19. yolov8l/train_batch37170.jpg +0 -0
  20. yolov8l/train_batch37171.jpg +0 -0
  21. yolov8l/train_batch37172.jpg +0 -0
  22. yolov8l/val_batch0_labels.jpg +0 -0
  23. yolov8l/val_batch0_pred.jpg +0 -0
  24. yolov8l/val_batch1_labels.jpg +0 -0
  25. yolov8l/val_batch1_pred.jpg +0 -0
  26. yolov8l/val_batch2_labels.jpg +0 -0
  27. yolov8l/val_batch2_pred.jpg +0 -0
  28. yolov8l/weights/best.pt +3 -0
  29. yolov8l/weights/last.pt +3 -0
  30. yolov8m/BoxF1_curve.png +0 -0
  31. yolov8m/BoxPR_curve.png +0 -0
  32. yolov8m/BoxP_curve.png +0 -0
  33. yolov8m/BoxR_curve.png +0 -0
  34. yolov8m/MaskF1_curve.png +0 -0
  35. yolov8m/MaskPR_curve.png +0 -0
  36. yolov8m/MaskP_curve.png +0 -0
  37. yolov8m/MaskR_curve.png +0 -0
  38. yolov8m/args.yaml +105 -0
  39. yolov8m/confusion_matrix.png +0 -0
  40. yolov8m/confusion_matrix_normalized.png +0 -0
  41. yolov8m/labels.jpg +0 -0
  42. yolov8m/labels_correlogram.jpg +0 -0
  43. yolov8m/results.csv +101 -0
  44. yolov8m/results.png +0 -0
  45. yolov8m/train_batch0.jpg +0 -0
  46. yolov8m/train_batch1.jpg +0 -0
  47. yolov8m/train_batch2.jpg +0 -0
  48. yolov8m/train_batch23940.jpg +0 -0
  49. yolov8m/train_batch23941.jpg +0 -0
  50. yolov8m/train_batch23942.jpg +0 -0
yolov8l/BoxF1_curve.png ADDED
yolov8l/BoxPR_curve.png ADDED
yolov8l/BoxP_curve.png ADDED
yolov8l/BoxR_curve.png ADDED
yolov8l/MaskF1_curve.png ADDED
yolov8l/MaskPR_curve.png ADDED
yolov8l/MaskP_curve.png ADDED
yolov8l/MaskR_curve.png ADDED
yolov8l/args.yaml ADDED
@@ -0,0 +1,105 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task: segment
2
+ mode: train
3
+ model: yolov8l-seg.pt
4
+ data: crack-seg.yaml
5
+ epochs: 100
6
+ time: null
7
+ patience: 50
8
+ batch: 9
9
+ imgsz: 640
10
+ save: true
11
+ save_period: -1
12
+ cache: ram
13
+ device: null
14
+ workers: 16
15
+ project: crack-seg
16
+ name: yolov8l
17
+ exist_ok: true
18
+ pretrained: true
19
+ optimizer: auto
20
+ verbose: true
21
+ seed: 0
22
+ deterministic: true
23
+ single_cls: false
24
+ rect: false
25
+ cos_lr: false
26
+ close_mosaic: 10
27
+ resume: false
28
+ amp: true
29
+ fraction: 1.0
30
+ profile: false
31
+ freeze: null
32
+ multi_scale: false
33
+ overlap_mask: true
34
+ mask_ratio: 4
35
+ dropout: 0.0
36
+ val: true
37
+ split: val
38
+ save_json: false
39
+ save_hybrid: false
40
+ conf: null
41
+ iou: 0.7
42
+ max_det: 300
43
+ half: false
44
+ dnn: false
45
+ plots: true
46
+ source: null
47
+ vid_stride: 1
48
+ stream_buffer: false
49
+ visualize: false
50
+ augment: false
51
+ agnostic_nms: false
52
+ classes: null
53
+ retina_masks: false
54
+ embed: null
55
+ show: false
56
+ save_frames: false
57
+ save_txt: false
58
+ save_conf: false
59
+ save_crop: false
60
+ show_labels: true
61
+ show_conf: true
62
+ show_boxes: true
63
+ line_width: null
64
+ format: torchscript
65
+ keras: false
66
+ optimize: false
67
+ int8: false
68
+ dynamic: false
69
+ simplify: false
70
+ opset: null
71
+ workspace: 4
72
+ nms: false
73
+ lr0: 0.01
74
+ lrf: 0.01
75
+ momentum: 0.937
76
+ weight_decay: 0.0005
77
+ warmup_epochs: 3.0
78
+ warmup_momentum: 0.8
79
+ warmup_bias_lr: 0.1
80
+ box: 7.5
81
+ cls: 0.5
82
+ dfl: 1.5
83
+ pose: 12.0
84
+ kobj: 1.0
85
+ label_smoothing: 0.0
86
+ nbs: 64
87
+ hsv_h: 0.015
88
+ hsv_s: 0.7
89
+ hsv_v: 0.4
90
+ degrees: 0.0
91
+ translate: 0.1
92
+ scale: 0.5
93
+ shear: 0.0
94
+ perspective: 0.0
95
+ flipud: 0.0
96
+ fliplr: 0.5
97
+ mosaic: 1.0
98
+ mixup: 0.0
99
+ copy_paste: 0.0
100
+ auto_augment: randaugment
101
+ erasing: 0.4
102
+ crop_fraction: 1.0
103
+ cfg: null
104
+ tracker: botsort.yaml
105
+ save_dir: crack-seg/yolov8l
yolov8l/confusion_matrix.png ADDED
yolov8l/confusion_matrix_normalized.png ADDED
yolov8l/labels.jpg ADDED
yolov8l/labels_correlogram.jpg ADDED
yolov8l/results.csv ADDED
@@ -0,0 +1,101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ epoch, train/box_loss, train/seg_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), metrics/precision(M), metrics/recall(M), metrics/mAP50(M), metrics/mAP50-95(M), val/box_loss, val/seg_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2
2
+ 1, 1.5532, 1.8999, 1.7576, 1.4998, 0.20955, 0.3253, 0.14265, 0.04565, 0.10302, 0.28916, 0.06094, 0.01189, 2.4239, 1.5474, 3.9339, 2.2469, 0.00066505, 0.00066505, 0.00066505
3
+ 2, 1.5548, 1.7886, 1.6036, 1.4952, 0.4823, 0.42169, 0.34715, 0.13473, 0.41553, 0.41401, 0.26874, 0.06637, 2.1432, 1.4235, 2.1319, 1.8021, 0.0013185, 0.0013185, 0.0013185
4
+ 3, 1.399, 1.7315, 1.4333, 1.3919, 0.40342, 0.41823, 0.35654, 0.12276, 0.53007, 0.35743, 0.34928, 0.10687, 2.0468, 1.3399, 2.2974, 1.6614, 0.0019588, 0.0019588, 0.0019588
5
+ 4, 1.3036, 1.6851, 1.3179, 1.3315, 0.65618, 0.62083, 0.58018, 0.34215, 0.56855, 0.55422, 0.41572, 0.13355, 1.5195, 1.2533, 1.6543, 1.3986, 0.0019406, 0.0019406, 0.0019406
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+ 5, 1.2284, 1.6485, 1.237, 1.2905, 0.59427, 0.60643, 0.5029, 0.28135, 0.51151, 0.49799, 0.34574, 0.0953, 1.5468, 1.3121, 1.9187, 1.3892, 0.0019406, 0.0019406, 0.0019406
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+ 6, 1.1678, 1.6308, 1.1617, 1.2598, 0.68463, 0.69747, 0.62634, 0.39241, 0.63231, 0.61044, 0.50048, 0.14825, 1.3832, 1.2559, 1.5297, 1.2955, 0.0019208, 0.0019208, 0.0019208
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+ 7, 1.1396, 1.6232, 1.1026, 1.2418, 0.68419, 0.65462, 0.63525, 0.42325, 0.6084, 0.56156, 0.47614, 0.154, 1.3333, 1.2055, 1.5293, 1.292, 0.001901, 0.001901, 0.001901
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+ 8, 1.0897, 1.5696, 1.0669, 1.2259, 0.71904, 0.68675, 0.6763, 0.44065, 0.64502, 0.61446, 0.55527, 0.1663, 1.3031, 1.2759, 1.372, 1.2501, 0.0018812, 0.0018812, 0.0018812
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+ 9, 1.0567, 1.5761, 1.0082, 1.2103, 0.67039, 0.69429, 0.64416, 0.42509, 0.57609, 0.59491, 0.47786, 0.15495, 1.2676, 1.2666, 1.3279, 1.2223, 0.0018614, 0.0018614, 0.0018614
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+ 10, 1.0487, 1.5731, 0.99981, 1.2064, 0.75742, 0.67713, 0.69577, 0.45215, 0.60673, 0.54217, 0.45853, 0.13781, 1.2619, 1.2522, 1.2189, 1.2087, 0.0018416, 0.0018416, 0.0018416
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+ 11, 1.0421, 1.5609, 0.99017, 1.2004, 0.74849, 0.67871, 0.69444, 0.46061, 0.62825, 0.59839, 0.50075, 0.16094, 1.2281, 1.2974, 1.2822, 1.2199, 0.0018218, 0.0018218, 0.0018218
13
+ 12, 1.0045, 1.5547, 0.94746, 1.1763, 0.7601, 0.63624, 0.68313, 0.46766, 0.65539, 0.5502, 0.52133, 0.17016, 1.199, 1.2055, 1.2542, 1.1638, 0.001802, 0.001802, 0.001802
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+ 13, 0.99088, 1.5453, 0.9344, 1.1771, 0.72611, 0.62817, 0.69688, 0.44975, 0.63762, 0.55118, 0.52964, 0.16583, 1.2186, 1.2436, 1.2582, 1.2168, 0.0017822, 0.0017822, 0.0017822
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+ 14, 0.99065, 1.5453, 0.9301, 1.1701, 0.79333, 0.6783, 0.71785, 0.50706, 0.67413, 0.58233, 0.54424, 0.17499, 1.1058, 1.2353, 1.2032, 1.1553, 0.0017624, 0.0017624, 0.0017624
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+ 15, 0.9649, 1.5129, 0.91115, 1.1506, 0.73472, 0.73092, 0.72588, 0.51557, 0.68881, 0.59839, 0.57662, 0.17395, 1.0696, 1.2108, 1.104, 1.0875, 0.0017426, 0.0017426, 0.0017426
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+ 16, 0.96936, 1.5273, 0.90975, 1.1582, 0.82258, 0.68893, 0.74133, 0.49248, 0.73575, 0.61499, 0.59935, 0.20082, 1.155, 1.2233, 1.1329, 1.1392, 0.0017228, 0.0017228, 0.0017228
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+ 17, 0.94628, 1.5137, 0.87447, 1.1414, 0.79786, 0.69748, 0.74631, 0.53397, 0.69686, 0.59438, 0.56623, 0.17302, 1.0904, 1.2241, 1.1052, 1.1396, 0.001703, 0.001703, 0.001703
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+ 18, 0.93928, 1.5114, 0.86031, 1.14, 0.84837, 0.63052, 0.72116, 0.49951, 0.76732, 0.57028, 0.57352, 0.17464, 1.1046, 1.2255, 1.1859, 1.1197, 0.0016832, 0.0016832, 0.0016832
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+ 19, 0.94027, 1.4987, 0.87214, 1.1427, 0.85023, 0.70683, 0.76346, 0.55173, 0.7681, 0.63855, 0.62573, 0.18962, 1.026, 1.2077, 1.0875, 1.0842, 0.0016634, 0.0016634, 0.0016634
21
+ 20, 0.93288, 1.5022, 0.85447, 1.1396, 0.72812, 0.6747, 0.70869, 0.49643, 0.67079, 0.581, 0.56637, 0.17909, 1.0802, 1.1957, 1.1945, 1.1322, 0.0016436, 0.0016436, 0.0016436
22
+ 21, 0.92166, 1.4771, 0.83861, 1.1336, 0.8032, 0.72119, 0.75392, 0.55042, 0.69078, 0.61906, 0.5822, 0.17555, 1.0514, 1.2476, 1.1039, 1.12, 0.0016238, 0.0016238, 0.0016238
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+ 22, 0.91263, 1.4874, 0.81139, 1.1209, 0.80418, 0.72567, 0.75934, 0.54961, 0.7066, 0.63835, 0.60183, 0.18961, 1.0845, 1.2052, 1.0611, 1.1006, 0.001604, 0.001604, 0.001604
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+ 23, 0.92101, 1.4832, 0.82858, 1.1279, 0.79415, 0.70683, 0.74121, 0.53536, 0.70982, 0.63454, 0.60627, 0.20131, 1.0918, 1.2022, 1.0794, 1.1572, 0.0015842, 0.0015842, 0.0015842
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+ 24, 0.9063, 1.4748, 0.81601, 1.1224, 0.82422, 0.69677, 0.76059, 0.56483, 0.67673, 0.62249, 0.58639, 0.1897, 1.034, 1.2014, 1.0915, 1.0852, 0.0015644, 0.0015644, 0.0015644
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+ 25, 0.90874, 1.4883, 0.81244, 1.118, 0.79415, 0.7282, 0.77291, 0.56774, 0.7379, 0.61847, 0.62298, 0.19897, 1.0242, 1.2117, 1.0591, 1.0586, 0.0015446, 0.0015446, 0.0015446
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+ 26, 0.90087, 1.4779, 0.81099, 1.1151, 0.85239, 0.71084, 0.77347, 0.55262, 0.7236, 0.66265, 0.63485, 0.19243, 1.0938, 1.1937, 1.0372, 1.1212, 0.0015248, 0.0015248, 0.0015248
28
+ 27, 0.89823, 1.4925, 0.80513, 1.1144, 0.74788, 0.71084, 0.72142, 0.52167, 0.68709, 0.64377, 0.59577, 0.18252, 1.017, 1.2066, 1.0543, 1.0683, 0.001505, 0.001505, 0.001505
29
+ 28, 0.88895, 1.4608, 0.78199, 1.1128, 0.80251, 0.71084, 0.76167, 0.56433, 0.71566, 0.65462, 0.6366, 0.20364, 1.0354, 1.2062, 1.0111, 1.0883, 0.0014852, 0.0014852, 0.0014852
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+ 29, 0.89018, 1.4583, 0.79196, 1.1128, 0.81028, 0.70683, 0.75043, 0.56295, 0.70304, 0.60852, 0.59221, 0.19539, 0.98721, 1.1961, 1.005, 1.0338, 0.0014654, 0.0014654, 0.0014654
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+ 30, 0.88394, 1.4696, 0.77259, 1.1081, 0.80373, 0.71084, 0.73936, 0.55833, 0.72154, 0.61044, 0.59571, 0.19676, 0.98119, 1.215, 1.0002, 1.07, 0.0014456, 0.0014456, 0.0014456
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+ 31, 0.86484, 1.4462, 0.77419, 1.1036, 0.79838, 0.71562, 0.76154, 0.56498, 0.69908, 0.61577, 0.60479, 0.18653, 0.99984, 1.1909, 0.98145, 1.0563, 0.0014258, 0.0014258, 0.0014258
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+ 32, 0.86853, 1.4459, 0.77817, 1.1015, 0.80252, 0.70281, 0.73542, 0.53858, 0.71479, 0.62249, 0.58413, 0.1943, 0.99667, 1.1949, 1.0605, 1.0365, 0.001406, 0.001406, 0.001406
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+ 33, 0.86109, 1.4424, 0.77294, 1.1024, 0.82332, 0.74297, 0.7873, 0.58409, 0.71612, 0.66667, 0.63148, 0.20141, 0.98819, 1.2029, 0.95149, 1.0827, 0.0013862, 0.0013862, 0.0013862
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+ 34, 0.86603, 1.4406, 0.75988, 1.0992, 0.8335, 0.74387, 0.78554, 0.56815, 0.74492, 0.66852, 0.64312, 0.2073, 1.0232, 1.1885, 0.91284, 1.1052, 0.0013664, 0.0013664, 0.0013664
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+ 35, 0.85524, 1.4398, 0.76022, 1.0936, 0.83441, 0.70683, 0.77137, 0.57872, 0.7842, 0.62249, 0.661, 0.21343, 0.97364, 1.1552, 0.97886, 1.075, 0.0013466, 0.0013466, 0.0013466
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+ 36, 0.85341, 1.4515, 0.74224, 1.0943, 0.8123, 0.74737, 0.75878, 0.57846, 0.72402, 0.6747, 0.60682, 0.2072, 0.95194, 1.1718, 0.97616, 1.0687, 0.0013268, 0.0013268, 0.0013268
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+ 37, 0.83778, 1.4342, 0.72735, 1.0849, 0.84416, 0.69076, 0.77031, 0.55877, 0.78143, 0.60306, 0.62554, 0.20022, 1.0107, 1.2095, 0.96313, 1.0483, 0.001307, 0.001307, 0.001307
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+ 38, 0.84443, 1.4497, 0.72698, 1.0819, 0.80475, 0.77798, 0.80274, 0.59163, 0.70089, 0.67758, 0.63069, 0.20645, 0.977, 1.1578, 0.94465, 1.0592, 0.0012872, 0.0012872, 0.0012872
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+ 39, 0.83527, 1.4384, 0.72543, 1.0854, 0.78699, 0.73494, 0.75293, 0.56742, 0.68611, 0.63206, 0.5958, 0.19616, 0.94483, 1.1778, 0.97218, 1.0492, 0.0012674, 0.0012674, 0.0012674
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+ 40, 0.84512, 1.4471, 0.72879, 1.0896, 0.7718, 0.71989, 0.74639, 0.56463, 0.71997, 0.64659, 0.62989, 0.20494, 0.97127, 1.1859, 0.98399, 1.059, 0.0012476, 0.0012476, 0.0012476
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+ 41, 0.83017, 1.4329, 0.71992, 1.084, 0.78773, 0.75502, 0.76304, 0.58403, 0.72208, 0.71084, 0.63581, 0.20818, 0.89948, 1.1647, 0.93476, 0.98814, 0.0012278, 0.0012278, 0.0012278
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+ 42, 0.82482, 1.4258, 0.70668, 1.0775, 0.7201, 0.74393, 0.75049, 0.56307, 0.64379, 0.68273, 0.62016, 0.20491, 0.9537, 1.1684, 0.99358, 1.0215, 0.001208, 0.001208, 0.001208
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+ 43, 0.822, 1.4214, 0.69659, 1.0752, 0.77104, 0.75737, 0.76735, 0.57261, 0.69065, 0.70832, 0.65591, 0.20827, 0.95761, 1.1716, 0.94286, 1.0585, 0.0011882, 0.0011882, 0.0011882
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+ 44, 0.8047, 1.4032, 0.69431, 1.0683, 0.79154, 0.74297, 0.77795, 0.58658, 0.68863, 0.71486, 0.66682, 0.21314, 0.97581, 1.1799, 0.89826, 1.0504, 0.0011684, 0.0011684, 0.0011684
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+ 45, 0.82183, 1.4173, 0.69963, 1.074, 0.75788, 0.74171, 0.76211, 0.56893, 0.67644, 0.67169, 0.62993, 0.19426, 0.9744, 1.1839, 0.93787, 1.0483, 0.0011486, 0.0011486, 0.0011486
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+ 46, 0.81035, 1.4002, 0.68515, 1.0674, 0.83469, 0.70683, 0.78974, 0.60567, 0.78054, 0.63855, 0.66531, 0.20227, 0.8907, 1.1939, 0.87836, 1.0004, 0.0011288, 0.0011288, 0.0011288
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+ 47, 0.80532, 1.4051, 0.69086, 1.0639, 0.82762, 0.73092, 0.77067, 0.59124, 0.75655, 0.6506, 0.64673, 0.20882, 0.93942, 1.1707, 0.92513, 1.0479, 0.001109, 0.001109, 0.001109
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+ 48, 0.81501, 1.4127, 0.68953, 1.0709, 0.81362, 0.73633, 0.76491, 0.59529, 0.73538, 0.66265, 0.63584, 0.20546, 0.93077, 1.1915, 0.93647, 1.0635, 0.0010892, 0.0010892, 0.0010892
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+ 49, 0.80454, 1.4025, 0.67394, 1.0652, 0.83818, 0.72289, 0.78349, 0.60699, 0.77443, 0.6506, 0.66283, 0.2121, 0.89242, 1.181, 0.91708, 1.0263, 0.0010694, 0.0010694, 0.0010694
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+ 50, 0.8096, 1.42, 0.66659, 1.0611, 0.82357, 0.69076, 0.7531, 0.59089, 0.7584, 0.63454, 0.62237, 0.20586, 0.92637, 1.1825, 0.93007, 1.0294, 0.0010496, 0.0010496, 0.0010496
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86
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87
+ 86, 0.66546, 1.2844, 0.49307, 0.98067, 0.78734, 0.78807, 0.77057, 0.60672, 0.75905, 0.70281, 0.66783, 0.218, 0.84123, 1.1874, 0.83093, 0.997, 0.0003368, 0.0003368, 0.0003368
88
+ 87, 0.67106, 1.2777, 0.48743, 0.98287, 0.82654, 0.74699, 0.76612, 0.59991, 0.70148, 0.67949, 0.62499, 0.21089, 0.86157, 1.185, 0.85975, 1.0088, 0.000317, 0.000317, 0.000317
89
+ 88, 0.67191, 1.2806, 0.47683, 0.98171, 0.82796, 0.73445, 0.75463, 0.57675, 0.75561, 0.66265, 0.62191, 0.20418, 0.86972, 1.1885, 0.86725, 1.0237, 0.0002972, 0.0002972, 0.0002972
90
+ 89, 0.66259, 1.2669, 0.47487, 0.97813, 0.80341, 0.75499, 0.76472, 0.59452, 0.76482, 0.66667, 0.63957, 0.20774, 0.84186, 1.1789, 0.8256, 1.0132, 0.0002774, 0.0002774, 0.0002774
91
+ 90, 0.66175, 1.2695, 0.46532, 0.97652, 0.83246, 0.73494, 0.74942, 0.57759, 0.73842, 0.65462, 0.61274, 0.19855, 0.86536, 1.1768, 0.84229, 1.0239, 0.0002576, 0.0002576, 0.0002576
92
+ 91, 0.52284, 0.94786, 0.43197, 0.97102, 0.85343, 0.71888, 0.76971, 0.60195, 0.7429, 0.6747, 0.63422, 0.20264, 0.82562, 1.1867, 0.81977, 1.0031, 0.0002378, 0.0002378, 0.0002378
93
+ 92, 0.51353, 0.93181, 0.41093, 0.96753, 0.815, 0.76077, 0.76768, 0.59661, 0.73842, 0.68023, 0.63002, 0.21225, 0.82659, 1.1929, 0.81582, 0.99929, 0.000218, 0.000218, 0.000218
94
+ 93, 0.50864, 0.92738, 0.40537, 0.96706, 0.84158, 0.75502, 0.75363, 0.5878, 0.76234, 0.68277, 0.64214, 0.20303, 0.84385, 1.1905, 0.83186, 1.01, 0.0001982, 0.0001982, 0.0001982
95
+ 94, 0.50475, 0.91999, 0.39476, 0.95856, 0.84953, 0.72691, 0.74366, 0.56856, 0.77663, 0.67871, 0.65364, 0.207, 0.84566, 1.2111, 0.84458, 1.0139, 0.0001784, 0.0001784, 0.0001784
96
+ 95, 0.48832, 0.91791, 0.38602, 0.95083, 0.83469, 0.73896, 0.7485, 0.59051, 0.75362, 0.66667, 0.6394, 0.20791, 0.83353, 1.2099, 0.82002, 1.0087, 0.0001586, 0.0001586, 0.0001586
97
+ 96, 0.49146, 0.91526, 0.38063, 0.95317, 0.84132, 0.72289, 0.75756, 0.58403, 0.76293, 0.64659, 0.63272, 0.2081, 0.83592, 1.2073, 0.82502, 1.027, 0.0001388, 0.0001388, 0.0001388
98
+ 97, 0.48252, 0.90671, 0.36997, 0.95102, 0.84349, 0.74297, 0.7693, 0.59476, 0.75552, 0.6702, 0.64644, 0.20542, 0.8315, 1.2121, 0.8219, 1.0111, 0.000119, 0.000119, 0.000119
99
+ 98, 0.47364, 0.90523, 0.36276, 0.94951, 0.83339, 0.71888, 0.7567, 0.58394, 0.75488, 0.64314, 0.63349, 0.20182, 0.83025, 1.2151, 0.84659, 1.0154, 9.92e-05, 9.92e-05, 9.92e-05
100
+ 99, 0.47061, 0.9005, 0.36368, 0.94353, 0.83182, 0.71507, 0.75204, 0.58637, 0.75422, 0.63454, 0.61978, 0.19859, 0.83952, 1.2158, 0.82041, 1.0226, 7.94e-05, 7.94e-05, 7.94e-05
101
+ 100, 0.46785, 0.90321, 0.35757, 0.94214, 0.84464, 0.71888, 0.76214, 0.58825, 0.7684, 0.6529, 0.65452, 0.20609, 0.84411, 1.2199, 0.83698, 1.0358, 5.96e-05, 5.96e-05, 5.96e-05
yolov8m/results.png ADDED
yolov8m/train_batch0.jpg ADDED
yolov8m/train_batch1.jpg ADDED
yolov8m/train_batch2.jpg ADDED
yolov8m/train_batch23940.jpg ADDED
yolov8m/train_batch23941.jpg ADDED
yolov8m/train_batch23942.jpg ADDED