Gholamreza
commited on
Upload folder using huggingface_hub
Browse files- detect/yolo11n_anpr/F1_curve.png +0 -0
- detect/yolo11n_anpr/PR_curve.png +0 -0
- detect/yolo11n_anpr/P_curve.png +0 -0
- detect/yolo11n_anpr/R_curve.png +0 -0
- detect/yolo11n_anpr/args.yaml +106 -0
- detect/yolo11n_anpr/confusion_matrix.png +0 -0
- detect/yolo11n_anpr/confusion_matrix_normalized.png +0 -0
- detect/yolo11n_anpr/events.out.tfevents.1734134750.8c924cde3284.336.0 +3 -0
- detect/yolo11n_anpr/labels.jpg +0 -0
- detect/yolo11n_anpr/labels_correlogram.jpg +0 -0
- detect/yolo11n_anpr/results.csv +101 -0
- detect/yolo11n_anpr/results.png +0 -0
- detect/yolo11n_anpr/train_batch0.jpg +0 -0
- detect/yolo11n_anpr/train_batch1.jpg +0 -0
- detect/yolo11n_anpr/train_batch1620.jpg +0 -0
- detect/yolo11n_anpr/train_batch1621.jpg +0 -0
- detect/yolo11n_anpr/train_batch1622.jpg +0 -0
- detect/yolo11n_anpr/train_batch2.jpg +0 -0
- detect/yolo11n_anpr/val_batch0_labels.jpg +0 -0
- detect/yolo11n_anpr/val_batch0_pred.jpg +0 -0
- detect/yolo11n_anpr/val_batch1_labels.jpg +0 -0
- detect/yolo11n_anpr/val_batch1_pred.jpg +0 -0
- detect/yolo11n_anpr/val_batch2_labels.jpg +0 -0
- detect/yolo11n_anpr/val_batch2_pred.jpg +0 -0
- detect/yolo11n_anpr/weights/best.pt +3 -0
- detect/yolo11n_anpr/weights/last.pt +3 -0
detect/yolo11n_anpr/F1_curve.png
ADDED
detect/yolo11n_anpr/PR_curve.png
ADDED
detect/yolo11n_anpr/P_curve.png
ADDED
detect/yolo11n_anpr/R_curve.png
ADDED
detect/yolo11n_anpr/args.yaml
ADDED
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
task: detect
|
2 |
+
mode: train
|
3 |
+
model: yolo11n.pt
|
4 |
+
data: /content/License-Plate-Detector-2/data.yaml
|
5 |
+
epochs: 100
|
6 |
+
time: null
|
7 |
+
patience: 100
|
8 |
+
batch: 16
|
9 |
+
imgsz: 640
|
10 |
+
save: true
|
11 |
+
save_period: -1
|
12 |
+
cache: false
|
13 |
+
device: null
|
14 |
+
workers: 8
|
15 |
+
project: null
|
16 |
+
name: yolo11n_anpr
|
17 |
+
exist_ok: false
|
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
|
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: true
|
70 |
+
opset: null
|
71 |
+
workspace: null
|
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 |
+
nbs: 64
|
86 |
+
hsv_h: 0.015
|
87 |
+
hsv_s: 0.7
|
88 |
+
hsv_v: 0.4
|
89 |
+
degrees: 0.0
|
90 |
+
translate: 0.1
|
91 |
+
scale: 0.5
|
92 |
+
shear: 0.0
|
93 |
+
perspective: 0.0
|
94 |
+
flipud: 0.0
|
95 |
+
fliplr: 0.5
|
96 |
+
bgr: 0.0
|
97 |
+
mosaic: 1.0
|
98 |
+
mixup: 0.0
|
99 |
+
copy_paste: 0.0
|
100 |
+
copy_paste_mode: flip
|
101 |
+
auto_augment: randaugment
|
102 |
+
erasing: 0.4
|
103 |
+
crop_fraction: 1.0
|
104 |
+
cfg: null
|
105 |
+
tracker: botsort.yaml
|
106 |
+
save_dir: runs/detect/yolo11n_anpr
|
detect/yolo11n_anpr/confusion_matrix.png
ADDED
detect/yolo11n_anpr/confusion_matrix_normalized.png
ADDED
detect/yolo11n_anpr/events.out.tfevents.1734134750.8c924cde3284.336.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3f26a05340f29b8ed1ed8021886cd50918edfa399b48214c8d006b661da0c35c
|
3 |
+
size 334623
|
detect/yolo11n_anpr/labels.jpg
ADDED
detect/yolo11n_anpr/labels_correlogram.jpg
ADDED
detect/yolo11n_anpr/results.csv
ADDED
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
|
2 |
+
1,18.426,1.13562,3.32279,1.22754,0.00333,1,0.78317,0.46638,0.97589,3.20329,0.98881,0.00034,0.00034,0.00034
|
3 |
+
2,24.5925,1.00162,2.04422,1.06783,1,0.34456,0.71378,0.54364,0.83828,3.00075,0.94347,0.00069307,0.00069307,0.00069307
|
4 |
+
3,33.4884,0.99225,1.75042,1.06407,1,0.24137,0.6146,0.38812,1.08155,3.15341,1.10845,0.00103901,0.00103901,0.00103901
|
5 |
+
4,42.5484,1.05866,1.67812,1.1019,0.76673,0.60874,0.76491,0.48649,1.15993,2.6654,1.109,0.00137783,0.00137783,0.00137783
|
6 |
+
5,50.7865,1.13531,1.66045,1.12359,0.44755,0.63009,0.58483,0.3795,1.15526,3.26383,1.14498,0.00170951,0.00170951,0.00170951
|
7 |
+
6,56.7892,1.06082,1.5605,1.12244,0.73765,0.76543,0.83062,0.5545,1.06782,2.29119,1.16796,0.001901,0.001901,0.001901
|
8 |
+
7,65.6744,1.17573,1.53169,1.19672,0.65158,0.61728,0.69999,0.45917,1.29953,2.03882,1.26533,0.0018812,0.0018812,0.0018812
|
9 |
+
8,71.5681,1.0712,1.38665,1.11335,0.73812,0.79012,0.76414,0.51622,1.11434,2.25513,1.17206,0.0018614,0.0018614,0.0018614
|
10 |
+
9,78.8263,1.07601,1.32435,1.11279,0.50929,0.66667,0.62236,0.42183,1.1106,3.58965,1.15783,0.0018416,0.0018416,0.0018416
|
11 |
+
10,85.877,1.05255,1.21179,1.10916,0.86976,0.82445,0.91718,0.68219,0.96611,1.41493,1.09036,0.0018218,0.0018218,0.0018218
|
12 |
+
11,91.7267,1.01004,1.13799,1.08631,0.60552,0.5496,0.58513,0.39574,1.14196,2.0177,1.20301,0.001802,0.001802,0.001802
|
13 |
+
12,100.64,1.00433,1.07973,1.07497,0.4131,0.50617,0.45159,0.31509,1.10041,2.01708,1.13858,0.0017822,0.0017822,0.0017822
|
14 |
+
13,106.53,0.96218,0.97017,1.06953,0.75046,0.74074,0.83501,0.57695,1.04175,1.36535,1.07257,0.0017624,0.0017624,0.0017624
|
15 |
+
14,114.39,1.01264,0.97184,1.08184,0.79229,0.83951,0.8854,0.65854,0.89636,1.07595,1.01349,0.0017426,0.0017426,0.0017426
|
16 |
+
15,120.858,0.94119,0.91592,1.04736,0.90206,0.96296,0.96239,0.7352,0.92552,0.94341,1.0031,0.0017228,0.0017228,0.0017228
|
17 |
+
16,127.165,0.94778,0.88991,1.06458,0.92761,0.9492,0.97339,0.75636,0.87942,0.94892,1.00909,0.001703,0.001703,0.001703
|
18 |
+
17,135.64,0.98172,0.90534,1.08508,0.96306,0.96559,0.9772,0.75202,0.8186,0.77135,1.00207,0.0016832,0.0016832,0.0016832
|
19 |
+
18,141.65,0.90824,0.80834,1.04509,0.97256,0.93827,0.98088,0.74653,0.87576,0.87057,1.01061,0.0016634,0.0016634,0.0016634
|
20 |
+
19,150.127,0.92401,0.78258,1.06755,0.97558,0.98651,0.98296,0.75572,0.89192,0.69946,1.00365,0.0016436,0.0016436,0.0016436
|
21 |
+
20,156.003,0.95787,0.78053,1.07848,0.93797,0.98765,0.98166,0.7766,0.84218,0.66217,0.99675,0.0016238,0.0016238,0.0016238
|
22 |
+
21,163.072,0.97352,0.81072,1.06663,0.94391,0.96296,0.97887,0.76233,0.86201,0.64242,0.99673,0.001604,0.001604,0.001604
|
23 |
+
22,170.497,0.92133,0.74941,1.06272,0.89801,0.97831,0.96553,0.77656,0.78691,0.73531,0.96072,0.0015842,0.0015842,0.0015842
|
24 |
+
23,180.618,0.91387,0.75729,1.05732,0.97393,0.92229,0.97928,0.78697,0.81533,0.68719,0.99574,0.0015644,0.0015644,0.0015644
|
25 |
+
24,187.157,0.87499,0.70077,1.02071,0.9607,0.93827,0.9727,0.77064,0.86521,0.78447,0.99066,0.0015446,0.0015446,0.0015446
|
26 |
+
25,193.137,0.89142,0.7572,1.03886,0.97425,0.93415,0.97701,0.70686,0.99709,0.78464,1.0036,0.0015248,0.0015248,0.0015248
|
27 |
+
26,201.923,0.86352,0.71629,1.02974,0.94011,0.96296,0.97673,0.78136,0.83014,0.69055,0.95992,0.001505,0.001505,0.001505
|
28 |
+
27,207.744,0.85157,0.68103,1.01374,0.97461,0.94781,0.97491,0.79227,0.79721,0.88775,0.96807,0.0014852,0.0014852,0.0014852
|
29 |
+
28,215.907,0.91232,0.7153,1.04874,0.9311,0.96296,0.97241,0.75477,0.87409,0.71246,1.01603,0.0014654,0.0014654,0.0014654
|
30 |
+
29,222.172,0.82481,0.64098,0.98732,0.96328,0.97159,0.97304,0.79085,0.73673,0.58867,0.95385,0.0014456,0.0014456,0.0014456
|
31 |
+
30,228.495,0.8667,0.70189,1.02958,0.99925,0.96296,0.98401,0.80336,0.75177,0.61155,0.95486,0.0014258,0.0014258,0.0014258
|
32 |
+
31,236.816,0.85761,0.64943,1.02262,0.9682,0.98765,0.98435,0.83039,0.72822,0.53843,0.94604,0.001406,0.001406,0.001406
|
33 |
+
32,242.616,0.85443,0.67279,1.0145,0.9508,0.98765,0.98374,0.79198,0.79117,0.60607,0.97527,0.0013862,0.0013862,0.0013862
|
34 |
+
33,251.317,0.83167,0.64625,0.99276,0.99547,0.95062,0.98389,0.81289,0.74031,0.5545,0.94742,0.0013664,0.0013664,0.0013664
|
35 |
+
34,257.248,0.88352,0.66265,1.0085,0.95694,0.95062,0.97847,0.80849,0.75539,0.56786,0.94062,0.0013466,0.0013466,0.0013466
|
36 |
+
35,264.067,0.85835,0.64422,1.01997,0.99088,0.96296,0.9846,0.82389,0.73083,0.59661,0.94236,0.0013268,0.0013268,0.0013268
|
37 |
+
36,271.404,0.84525,0.64526,1.01364,0.98751,0.97644,0.98484,0.79696,0.80342,0.58641,0.94752,0.001307,0.001307,0.001307
|
38 |
+
37,277.215,0.81074,0.63854,1.00859,0.98009,0.97531,0.98151,0.80305,0.7731,0.54891,0.96122,0.0012872,0.0012872,0.0012872
|
39 |
+
38,286.09,0.80223,0.66009,0.9939,0.99685,0.97531,0.98483,0.82309,0.71888,0.53297,0.94757,0.0012674,0.0012674,0.0012674
|
40 |
+
39,291.917,0.76838,0.57645,0.98134,0.99819,0.95062,0.98041,0.82029,0.71966,0.51901,0.93787,0.0012476,0.0012476,0.0012476
|
41 |
+
40,300.034,0.82782,0.57951,1.01955,0.997,0.93827,0.97904,0.77646,0.79667,0.57067,0.98536,0.0012278,0.0012278,0.0012278
|
42 |
+
41,308.881,0.79428,0.57952,0.98563,1,0.94219,0.97221,0.81437,0.72512,0.527,0.94557,0.001208,0.001208,0.001208
|
43 |
+
42,317.957,0.78472,0.56489,0.9882,0.99759,0.97531,0.97722,0.79229,0.80864,0.52309,0.96044,0.0011882,0.0011882,0.0011882
|
44 |
+
43,324.052,0.76686,0.56305,1.01827,0.98749,0.97451,0.97651,0.81975,0.70152,0.50035,0.92751,0.0011684,0.0011684,0.0011684
|
45 |
+
44,330.532,0.76674,0.56354,0.96511,0.98379,0.96296,0.97898,0.82668,0.68463,0.51183,0.93039,0.0011486,0.0011486,0.0011486
|
46 |
+
45,338.224,0.75465,0.56776,0.97306,0.97194,0.97531,0.98445,0.84188,0.65228,0.46804,0.92947,0.0011288,0.0011288,0.0011288
|
47 |
+
46,344.152,0.75439,0.58013,1.0095,0.99799,0.97531,0.98568,0.84047,0.67741,0.46224,0.9406,0.001109,0.001109,0.001109
|
48 |
+
47,352.829,0.76999,0.56734,1.01623,0.99907,0.97531,0.98534,0.82112,0.69837,0.49036,0.93128,0.0010892,0.0010892,0.0010892
|
49 |
+
48,358.702,0.82751,0.59506,1.03682,0.98516,0.96296,0.9844,0.8276,0.70253,0.5137,0.92228,0.0010694,0.0010694,0.0010694
|
50 |
+
49,366.09,0.74545,0.54879,0.98449,0.97484,0.95675,0.98155,0.83523,0.68372,0.51487,0.91439,0.0010496,0.0010496,0.0010496
|
51 |
+
50,373.186,0.75841,0.54747,0.98246,0.99779,0.96296,0.9829,0.82465,0.67308,0.46286,0.90922,0.0010298,0.0010298,0.0010298
|
52 |
+
51,379.151,0.76301,0.54654,0.95379,0.98139,0.97531,0.98169,0.81397,0.69608,0.4977,0.91403,0.00101,0.00101,0.00101
|
53 |
+
52,387.373,0.80088,0.56506,1.01112,0.97069,0.97531,0.98427,0.8344,0.65748,0.47681,0.90156,0.0009902,0.0009902,0.0009902
|
54 |
+
53,393.288,0.71311,0.54598,0.94526,0.98748,0.97342,0.98465,0.82634,0.70075,0.4749,0.92915,0.0009704,0.0009704,0.0009704
|
55 |
+
54,401.896,0.73364,0.53655,0.99214,0.96806,0.97531,0.98179,0.80838,0.74219,0.53548,0.93243,0.0009506,0.0009506,0.0009506
|
56 |
+
55,408.056,0.72267,0.54032,0.9651,0.95861,0.97531,0.98245,0.81237,0.7344,0.51184,0.93955,0.0009308,0.0009308,0.0009308
|
57 |
+
56,414.999,0.71701,0.52718,0.9646,1,0.95874,0.98347,0.84396,0.67232,0.47589,0.92216,0.000911,0.000911,0.000911
|
58 |
+
57,422.493,0.69904,0.48216,0.95693,0.95663,0.97531,0.98058,0.85191,0.65815,0.50617,0.91444,0.0008912,0.0008912,0.0008912
|
59 |
+
58,428.353,0.71751,0.50366,0.96419,0.96271,0.97531,0.98198,0.84792,0.62931,0.47436,0.9045,0.0008714,0.0008714,0.0008714
|
60 |
+
59,438.037,0.67935,0.48363,0.95571,0.9854,0.97531,0.97704,0.85066,0.6328,0.44321,0.90473,0.0008516,0.0008516,0.0008516
|
61 |
+
60,445.722,0.69856,0.49824,0.94624,0.98839,0.96296,0.97743,0.8263,0.68304,0.456,0.90982,0.0008318,0.0008318,0.0008318
|
62 |
+
61,454.659,0.68344,0.50276,0.96807,0.99689,0.96296,0.97606,0.82929,0.65853,0.45724,0.91417,0.000812,0.000812,0.000812
|
63 |
+
62,460.576,0.68446,0.47828,0.9557,0.9873,0.97531,0.97902,0.82919,0.67274,0.47912,0.91077,0.0007922,0.0007922,0.0007922
|
64 |
+
63,468.401,0.65769,0.46543,0.94204,0.98263,0.97531,0.98302,0.83266,0.66162,0.44547,0.91526,0.0007724,0.0007724,0.0007724
|
65 |
+
64,475.075,0.68985,0.47799,0.97635,0.98691,0.97531,0.98348,0.84177,0.65195,0.44319,0.90696,0.0007526,0.0007526,0.0007526
|
66 |
+
65,481.085,0.65041,0.45786,0.93082,0.99685,0.97531,0.9841,0.84587,0.66275,0.45151,0.90657,0.0007328,0.0007328,0.0007328
|
67 |
+
66,489.131,0.71205,0.49175,0.9543,0.99703,0.97531,0.97892,0.83954,0.65247,0.43717,0.8972,0.000713,0.000713,0.000713
|
68 |
+
67,495.087,0.69256,0.4806,0.97099,0.98568,0.97531,0.98221,0.83755,0.6514,0.47594,0.89618,0.0006932,0.0006932,0.0006932
|
69 |
+
68,504.289,0.68698,0.48101,0.94041,0.98747,0.97265,0.97201,0.81055,0.69607,0.49537,0.91074,0.0006734,0.0006734,0.0006734
|
70 |
+
69,510.204,0.66621,0.44681,0.93824,0.97003,0.97531,0.97644,0.83385,0.67436,0.47836,0.91042,0.0006536,0.0006536,0.0006536
|
71 |
+
70,517.111,0.73504,0.52776,1.01913,0.97522,0.97187,0.98351,0.84309,0.66213,0.44968,0.90281,0.0006338,0.0006338,0.0006338
|
72 |
+
71,525.068,0.66939,0.49534,0.94072,0.97372,0.97531,0.97926,0.84539,0.65954,0.47207,0.90638,0.000614,0.000614,0.000614
|
73 |
+
72,531.002,0.64428,0.46688,0.93762,0.9753,0.97485,0.97916,0.85028,0.61524,0.45433,0.88334,0.0005942,0.0005942,0.0005942
|
74 |
+
73,540.06,0.64764,0.46374,0.94382,0.97525,0.97295,0.98373,0.84315,0.63711,0.45081,0.89054,0.0005744,0.0005744,0.0005744
|
75 |
+
74,545.901,0.65241,0.45956,0.95152,0.96164,0.97531,0.9836,0.8572,0.58848,0.42165,0.88337,0.0005546,0.0005546,0.0005546
|
76 |
+
75,552.984,0.65825,0.44462,0.94137,0.97502,0.97531,0.98352,0.85223,0.60705,0.41918,0.89163,0.0005348,0.0005348,0.0005348
|
77 |
+
76,559.873,0.59456,0.43253,0.91056,0.98731,0.96077,0.97907,0.85375,0.61326,0.42248,0.89304,0.000515,0.000515,0.000515
|
78 |
+
77,565.883,0.66136,0.45248,0.94324,0.98734,0.96267,0.97761,0.84746,0.61732,0.4462,0.89323,0.0004952,0.0004952,0.0004952
|
79 |
+
78,575.871,0.63786,0.45868,0.94146,0.96335,0.97343,0.9772,0.84495,0.65562,0.45107,0.90031,0.0004754,0.0004754,0.0004754
|
80 |
+
79,583.135,0.6232,0.42751,0.91966,0.9618,0.97531,0.97946,0.84717,0.63226,0.43865,0.89669,0.0004556,0.0004556,0.0004556
|
81 |
+
80,591.925,0.63006,0.44141,0.93777,0.98746,0.97206,0.9802,0.82852,0.67304,0.43088,0.9061,0.0004358,0.0004358,0.0004358
|
82 |
+
81,597.912,0.59514,0.43406,0.92458,0.9856,0.97531,0.98132,0.85101,0.63395,0.42403,0.89811,0.000416,0.000416,0.000416
|
83 |
+
82,605.382,0.60884,0.41645,0.89508,0.98629,0.97531,0.98236,0.8554,0.60374,0.41824,0.88914,0.0003962,0.0003962,0.0003962
|
84 |
+
83,612.441,0.61661,0.42363,0.91801,0.98716,0.97531,0.98193,0.85787,0.60623,0.41225,0.89011,0.0003764,0.0003764,0.0003764
|
85 |
+
84,618.287,0.58332,0.41744,0.9091,0.97437,0.97531,0.98208,0.85238,0.60959,0.41243,0.88319,0.0003566,0.0003566,0.0003566
|
86 |
+
85,626.838,0.58191,0.40261,0.91523,0.97515,0.97531,0.98309,0.85129,0.61842,0.42044,0.88681,0.0003368,0.0003368,0.0003368
|
87 |
+
86,632.679,0.6373,0.45271,0.96162,0.97336,0.97531,0.98458,0.85776,0.61314,0.43885,0.88505,0.000317,0.000317,0.000317
|
88 |
+
87,640.936,0.60625,0.42393,0.91891,0.97435,0.97531,0.98378,0.86276,0.60833,0.42543,0.885,0.0002972,0.0002972,0.0002972
|
89 |
+
88,647.165,0.57357,0.41106,0.92574,0.98569,0.96296,0.98282,0.85402,0.62838,0.41838,0.89791,0.0002774,0.0002774,0.0002774
|
90 |
+
89,653.962,0.59118,0.42092,0.93111,0.98749,0.97442,0.98354,0.86769,0.60841,0.39659,0.88266,0.0002576,0.0002576,0.0002576
|
91 |
+
90,661.855,0.58676,0.40438,0.92074,0.98749,0.97421,0.98119,0.8658,0.59294,0.38998,0.8804,0.0002378,0.0002378,0.0002378
|
92 |
+
91,669.661,0.51937,0.33973,0.85734,0.99739,0.96296,0.97864,0.85359,0.62356,0.38908,0.89227,0.000218,0.000218,0.000218
|
93 |
+
92,678.157,0.55,0.3561,0.89381,0.99863,0.96296,0.97974,0.86184,0.61846,0.4113,0.8934,0.0001982,0.0001982,0.0001982
|
94 |
+
93,683.981,0.49296,0.34318,0.8635,0.98748,0.97411,0.98068,0.84838,0.62577,0.40222,0.89138,0.0001784,0.0001784,0.0001784
|
95 |
+
94,692.21,0.50539,0.35245,0.87287,0.98748,0.97407,0.98083,0.859,0.61455,0.39452,0.88685,0.0001586,0.0001586,0.0001586
|
96 |
+
95,698.314,0.47786,0.33036,0.84215,0.98749,0.97443,0.98224,0.86669,0.5916,0.39152,0.88111,0.0001388,0.0001388,0.0001388
|
97 |
+
96,705.147,0.49097,0.33543,0.87156,0.98749,0.97457,0.98283,0.87176,0.57743,0.38456,0.87888,0.000119,0.000119,0.000119
|
98 |
+
97,715.332,0.51331,0.35004,0.87673,0.98749,0.9745,0.98283,0.88245,0.56688,0.38265,0.87455,9.92e-05,9.92e-05,9.92e-05
|
99 |
+
98,721.108,0.47058,0.32566,0.85869,0.9875,0.97496,0.98252,0.8711,0.58672,0.38448,0.88121,7.94e-05,7.94e-05,7.94e-05
|
100 |
+
99,727.894,0.48015,0.33288,0.86286,0.9875,0.97496,0.98238,0.8708,0.59835,0.38687,0.88429,5.96e-05,5.96e-05,5.96e-05
|
101 |
+
100,735.027,0.48895,0.34802,0.87916,0.9875,0.97519,0.98259,0.87186,0.59174,0.38028,0.88118,3.98e-05,3.98e-05,3.98e-05
|
detect/yolo11n_anpr/results.png
ADDED
detect/yolo11n_anpr/train_batch0.jpg
ADDED
detect/yolo11n_anpr/train_batch1.jpg
ADDED
detect/yolo11n_anpr/train_batch1620.jpg
ADDED
detect/yolo11n_anpr/train_batch1621.jpg
ADDED
detect/yolo11n_anpr/train_batch1622.jpg
ADDED
detect/yolo11n_anpr/train_batch2.jpg
ADDED
detect/yolo11n_anpr/val_batch0_labels.jpg
ADDED
detect/yolo11n_anpr/val_batch0_pred.jpg
ADDED
detect/yolo11n_anpr/val_batch1_labels.jpg
ADDED
detect/yolo11n_anpr/val_batch1_pred.jpg
ADDED
detect/yolo11n_anpr/val_batch2_labels.jpg
ADDED
detect/yolo11n_anpr/val_batch2_pred.jpg
ADDED
detect/yolo11n_anpr/weights/best.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c70a91b5d695c2b8302bbe4f8ab6112ddc7845159f2fcc91cd50072d401ed00c
|
3 |
+
size 5477267
|
detect/yolo11n_anpr/weights/last.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:58563566ab66aedd8c13cf866df859a2d6fd5e74c92eb2ff7dffed9f990ab90c
|
3 |
+
size 5477267
|