Model Trainiert Datensatz vom 02.06.2025

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95 changed files with 30 additions and 2023 deletions

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.gitignore vendored
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runs/ runs/
Test/ Test/
yolo_dataset/

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Readme.md Normal file
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# Nao Robotererkennung
Trainingsdaten auf der Nextcloud

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@ -10,7 +10,7 @@ imgsz: 640
save: true save: true
save_period: -1 save_period: -1
cache: false cache: false
device: cpu device: '0'
workers: 8 workers: 8
project: yolo_training project: yolo_training
name: NAO_detector name: NAO_detector

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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 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
1,131.57,1.11402,2.41714,1.20281,1,0.37601,0.79951,0.55456,0.87553,2.60439,1.01905,0.00026,0.00026,0.00026 1,43.7328,1.25814,1.72863,1.17659,0.74518,0.84077,0.84291,0.48474,1.24266,1.73231,1.41437,0.000661654,0.000661654,0.000661654
2,85.9308,1.31019,1.25131,1.21989,0.71446,0.65,0.71046,0.40902,1.50998,1.53101,1.53065,0.00130202,0.00130202,0.00130202
3,128.01,1.33351,1.0706,1.24283,0.82519,0.675,0.75726,0.47482,1.28739,1.66125,1.38419,0.00191599,0.00191599,0.00191599
4,170.005,1.29976,0.99576,1.22534,0.85278,0.9125,0.95516,0.6481,1.14824,1.2724,1.25304,0.0018812,0.0018812,0.0018812
5,212.093,1.26398,0.91562,1.19885,0.90834,0.875,0.93973,0.63297,1.16508,0.85274,1.26465,0.0018416,0.0018416,0.0018416
6,254.328,1.21589,0.82583,1.18872,0.8238,0.87662,0.90482,0.59631,1.16718,0.94529,1.27788,0.001802,0.001802,0.001802
7,296.649,1.21417,0.82002,1.17498,0.90981,0.875,0.945,0.59768,1.24293,0.82515,1.34108,0.0017624,0.0017624,0.0017624
8,338.847,1.18677,0.79578,1.1575,0.97318,0.90724,0.95959,0.68662,1.07251,0.72583,1.18407,0.0017228,0.0017228,0.0017228
9,381.136,1.17178,0.76381,1.16491,0.95158,0.8375,0.91832,0.65263,1.03967,1.1827,1.21166,0.0016832,0.0016832,0.0016832
10,423.336,1.18489,0.74399,1.16868,0.94528,0.9625,0.96416,0.70055,1.06039,0.69439,1.20436,0.0016436,0.0016436,0.0016436
11,465.686,1.15965,0.73219,1.14847,0.87476,0.96038,0.94967,0.69634,1.02899,0.68159,1.14522,0.001604,0.001604,0.001604
12,508.067,1.15236,0.71709,1.14044,0.95194,0.9125,0.97032,0.74034,0.94112,0.59602,1.11346,0.0015644,0.0015644,0.0015644
13,550.483,1.13722,0.70397,1.14222,0.92314,0.90078,0.95561,0.69837,0.93819,0.72891,1.12948,0.0015248,0.0015248,0.0015248
14,592.651,1.12905,0.69081,1.14225,0.92667,0.9375,0.96263,0.70679,0.99774,0.59732,1.18065,0.0014852,0.0014852,0.0014852
15,635.008,1.12174,0.67997,1.12656,0.91732,0.875,0.94963,0.71413,0.95528,0.57018,1.13455,0.0014456,0.0014456,0.0014456
16,677.376,1.11231,0.65944,1.12721,0.93497,0.89861,0.96771,0.7444,0.93139,0.54339,1.11307,0.001406,0.001406,0.001406
17,719.657,1.07777,0.67041,1.09882,0.93645,0.92108,0.97476,0.75162,0.94171,0.51412,1.10385,0.0013664,0.0013664,0.0013664
18,761.969,1.07516,0.63592,1.10574,0.96448,0.9375,0.97748,0.75255,0.9098,0.48929,1.10691,0.0013268,0.0013268,0.0013268
19,804.231,1.0694,0.61849,1.10328,0.96186,0.925,0.9737,0.76578,0.86653,0.49392,1.08609,0.0012872,0.0012872,0.0012872
20,846.579,1.04875,0.61657,1.10205,0.96185,0.95,0.97948,0.76197,0.87411,0.51301,1.10399,0.0012476,0.0012476,0.0012476
21,888.791,1.0645,0.61355,1.1024,0.91306,0.9375,0.97366,0.73882,0.87144,0.50829,1.0843,0.001208,0.001208,0.001208
22,931.259,1.06394,0.60756,1.10152,0.92649,0.94529,0.98047,0.73572,0.89228,0.53384,1.07704,0.0011684,0.0011684,0.0011684
23,973.702,1.05014,0.60532,1.10591,0.94753,0.9375,0.97509,0.74799,0.89053,0.48995,1.08055,0.0011288,0.0011288,0.0011288
24,1015.97,1.03435,0.58299,1.07959,0.94908,0.93203,0.97254,0.76005,0.89917,0.47759,1.0904,0.0010892,0.0010892,0.0010892

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 1 131.57 43.7328 1.11402 1.25814 2.41714 1.72863 1.20281 1.17659 1 0.74518 0.37601 0.84077 0.79951 0.84291 0.55456 0.48474 0.87553 1.24266 2.60439 1.73231 1.01905 1.41437 0.00026 0.000661654 0.00026 0.000661654 0.00026 0.000661654
3 2 85.9308 1.31019 1.25131 1.21989 0.71446 0.65 0.71046 0.40902 1.50998 1.53101 1.53065 0.00130202 0.00130202 0.00130202
4 3 128.01 1.33351 1.0706 1.24283 0.82519 0.675 0.75726 0.47482 1.28739 1.66125 1.38419 0.00191599 0.00191599 0.00191599
5 4 170.005 1.29976 0.99576 1.22534 0.85278 0.9125 0.95516 0.6481 1.14824 1.2724 1.25304 0.0018812 0.0018812 0.0018812
6 5 212.093 1.26398 0.91562 1.19885 0.90834 0.875 0.93973 0.63297 1.16508 0.85274 1.26465 0.0018416 0.0018416 0.0018416
7 6 254.328 1.21589 0.82583 1.18872 0.8238 0.87662 0.90482 0.59631 1.16718 0.94529 1.27788 0.001802 0.001802 0.001802
8 7 296.649 1.21417 0.82002 1.17498 0.90981 0.875 0.945 0.59768 1.24293 0.82515 1.34108 0.0017624 0.0017624 0.0017624
9 8 338.847 1.18677 0.79578 1.1575 0.97318 0.90724 0.95959 0.68662 1.07251 0.72583 1.18407 0.0017228 0.0017228 0.0017228
10 9 381.136 1.17178 0.76381 1.16491 0.95158 0.8375 0.91832 0.65263 1.03967 1.1827 1.21166 0.0016832 0.0016832 0.0016832
11 10 423.336 1.18489 0.74399 1.16868 0.94528 0.9625 0.96416 0.70055 1.06039 0.69439 1.20436 0.0016436 0.0016436 0.0016436
12 11 465.686 1.15965 0.73219 1.14847 0.87476 0.96038 0.94967 0.69634 1.02899 0.68159 1.14522 0.001604 0.001604 0.001604
13 12 508.067 1.15236 0.71709 1.14044 0.95194 0.9125 0.97032 0.74034 0.94112 0.59602 1.11346 0.0015644 0.0015644 0.0015644
14 13 550.483 1.13722 0.70397 1.14222 0.92314 0.90078 0.95561 0.69837 0.93819 0.72891 1.12948 0.0015248 0.0015248 0.0015248
15 14 592.651 1.12905 0.69081 1.14225 0.92667 0.9375 0.96263 0.70679 0.99774 0.59732 1.18065 0.0014852 0.0014852 0.0014852
16 15 635.008 1.12174 0.67997 1.12656 0.91732 0.875 0.94963 0.71413 0.95528 0.57018 1.13455 0.0014456 0.0014456 0.0014456
17 16 677.376 1.11231 0.65944 1.12721 0.93497 0.89861 0.96771 0.7444 0.93139 0.54339 1.11307 0.001406 0.001406 0.001406
18 17 719.657 1.07777 0.67041 1.09882 0.93645 0.92108 0.97476 0.75162 0.94171 0.51412 1.10385 0.0013664 0.0013664 0.0013664
19 18 761.969 1.07516 0.63592 1.10574 0.96448 0.9375 0.97748 0.75255 0.9098 0.48929 1.10691 0.0013268 0.0013268 0.0013268
20 19 804.231 1.0694 0.61849 1.10328 0.96186 0.925 0.9737 0.76578 0.86653 0.49392 1.08609 0.0012872 0.0012872 0.0012872
21 20 846.579 1.04875 0.61657 1.10205 0.96185 0.95 0.97948 0.76197 0.87411 0.51301 1.10399 0.0012476 0.0012476 0.0012476
22 21 888.791 1.0645 0.61355 1.1024 0.91306 0.9375 0.97366 0.73882 0.87144 0.50829 1.0843 0.001208 0.001208 0.001208
23 22 931.259 1.06394 0.60756 1.10152 0.92649 0.94529 0.98047 0.73572 0.89228 0.53384 1.07704 0.0011684 0.0011684 0.0011684
24 23 973.702 1.05014 0.60532 1.10591 0.94753 0.9375 0.97509 0.74799 0.89053 0.48995 1.08055 0.0011288 0.0011288 0.0011288
25 24 1015.97 1.03435 0.58299 1.07959 0.94908 0.93203 0.97254 0.76005 0.89917 0.47759 1.0904 0.0010892 0.0010892 0.0010892

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description: Ultralytics best model trained on yolo_dataset\dataset.yaml description: Ultralytics best model trained on yolo_dataset\dataset.yaml
author: Ultralytics author: Ultralytics
date: '2025-05-30T16:19:53.376545' date: '2025-06-02T11:00:39.061455'
version: 8.3.146 version: 8.3.146
license: AGPL-3.0 License (https://ultralytics.com/license) license: AGPL-3.0 License (https://ultralytics.com/license)
docs: https://docs.ultralytics.com docs: https://docs.ultralytics.com

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task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset\dataset.yaml
epochs: 50
time: null
patience: 5
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: yolo_training
name: NAO_detector10
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
stream_buffer: false
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
embed: null
show: false
save_frames: false
save_txt: false
save_conf: false
save_crop: false
show_labels: true
show_conf: true
show_boxes: true
line_width: null
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
lrf: 0.01
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.5
shear: 0.0
perspective: 0.0
flipud: 0.0
fliplr: 0.5
bgr: 0.0
mosaic: 1.0
mixup: 0.0
cutmix: 0.0
copy_paste: 0.0
copy_paste_mode: flip
auto_augment: randaugment
erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector10

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task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset\dataset.yaml
epochs: 50
time: null
patience: 5
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: '0'
workers: 8
project: yolo_training
name: NAO_detector11
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
stream_buffer: false
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
embed: null
show: false
save_frames: false
save_txt: false
save_conf: false
save_crop: false
show_labels: true
show_conf: true
show_boxes: true
line_width: null
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
lrf: 0.01
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.5
shear: 0.0
perspective: 0.0
flipud: 0.0
fliplr: 0.5
bgr: 0.0
mosaic: 1.0
mixup: 0.0
cutmix: 0.0
copy_paste: 0.0
copy_paste_mode: flip
auto_augment: randaugment
erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector11

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@ -1,105 +0,0 @@
task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset\dataset.yaml
epochs: 50
time: null
patience: 5
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: '0'
workers: 8
project: yolo_training
name: NAO_detector12
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
stream_buffer: false
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
embed: null
show: false
save_frames: false
save_txt: false
save_conf: false
save_crop: false
show_labels: true
show_conf: true
show_boxes: true
line_width: null
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
lrf: 0.01
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.5
shear: 0.0
perspective: 0.0
flipud: 0.0
fliplr: 0.5
bgr: 0.0
mosaic: 1.0
mixup: 0.0
cutmix: 0.0
copy_paste: 0.0
copy_paste_mode: flip
auto_augment: randaugment
erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector12

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@ -1,105 +0,0 @@
task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset\dataset.yaml
epochs: 50
time: null
patience: 5
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: '0'
workers: 8
project: yolo_training
name: NAO_detector13
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
stream_buffer: false
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
embed: null
show: false
save_frames: false
save_txt: false
save_conf: false
save_crop: false
show_labels: true
show_conf: true
show_boxes: true
line_width: null
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
lrf: 0.01
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.5
shear: 0.0
perspective: 0.0
flipud: 0.0
fliplr: 0.5
bgr: 0.0
mosaic: 1.0
mixup: 0.0
cutmix: 0.0
copy_paste: 0.0
copy_paste_mode: flip
auto_augment: randaugment
erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector13

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@ -1,105 +0,0 @@
task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset\dataset.yaml
epochs: 50
time: null
patience: 5
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: '0'
workers: 8
project: yolo_training
name: NAO_detector14
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
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7 6 37.2791 1.06106 1.2984 1.16066 0.76601 0.45015 0.53968 0.32264 1.32466 2.36514 1.48035 0.00149566 0.00149566 0.00149566
8 7 43.1021 1.09893 1.24551 1.19656 0.82645 0.65481 0.73781 0.49082 1.1212 2.01043 1.27297 0.00170953 0.00170953 0.00170953
9 8 48.9792 1.03723 1.1235 1.16268 0.71323 0.6625 0.74511 0.45166 1.1994 1.97413 1.27788 0.0017228 0.0017228 0.0017228

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task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset\dataset.yaml
epochs: 50
time: null
patience: 5
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: yolo_training
name: NAO_detector3
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
stream_buffer: false
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
embed: null
show: false
save_frames: false
save_txt: false
save_conf: false
save_crop: false
show_labels: true
show_conf: true
show_boxes: true
line_width: null
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
lrf: 0.01
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.5
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perspective: 0.0
flipud: 0.0
fliplr: 0.5
bgr: 0.0
mosaic: 1.0
mixup: 0.0
cutmix: 0.0
copy_paste: 0.0
copy_paste_mode: flip
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erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector3

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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
1,140.47,1.11402,2.41714,1.20281,1,0.37601,0.79951,0.55456,0.87553,2.60439,1.01905,0.00026,0.00026,0.00026
2,316.983,0.99575,1.51901,1.10586,1,0.45683,0.90108,0.57564,1.10253,2.54986,1.13344,0.000529308,0.000529308,0.000529308
3,512.153,0.99078,1.43238,1.14146,0.93389,0.35323,0.7206,0.43569,1.22903,2.64606,1.23865,0.000787528,0.000787528,0.000787528
4,644.94,1.0202,1.33932,1.15516,0.61359,0.3,0.34609,0.22426,1.32221,2.85182,1.39251,0.00103466,0.00103466,0.00103466
5,772.698,1.04289,1.31,1.17156,0.475,0.45,0.4433,0.29879,1.17274,2.54752,1.27816,0.0012707,0.0012707,0.0012707
6,899.988,1.0882,1.2972,1.2043,0.7555,0.2875,0.31395,0.19236,1.42954,3.42743,1.67074,0.00149566,0.00149566,0.00149566
7,1025.24,1.05137,1.28863,1.18317,0.4076,0.45,0.36035,0.2224,1.21401,3.12466,1.48008,0.00170953,0.00170953,0.00170953
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 1 140.47 1.11402 2.41714 1.20281 1 0.37601 0.79951 0.55456 0.87553 2.60439 1.01905 0.00026 0.00026 0.00026
3 2 316.983 0.99575 1.51901 1.10586 1 0.45683 0.90108 0.57564 1.10253 2.54986 1.13344 0.000529308 0.000529308 0.000529308
4 3 512.153 0.99078 1.43238 1.14146 0.93389 0.35323 0.7206 0.43569 1.22903 2.64606 1.23865 0.000787528 0.000787528 0.000787528
5 4 644.94 1.0202 1.33932 1.15516 0.61359 0.3 0.34609 0.22426 1.32221 2.85182 1.39251 0.00103466 0.00103466 0.00103466
6 5 772.698 1.04289 1.31 1.17156 0.475 0.45 0.4433 0.29879 1.17274 2.54752 1.27816 0.0012707 0.0012707 0.0012707
7 6 899.988 1.0882 1.2972 1.2043 0.7555 0.2875 0.31395 0.19236 1.42954 3.42743 1.67074 0.00149566 0.00149566 0.00149566
8 7 1025.24 1.05137 1.28863 1.18317 0.4076 0.45 0.36035 0.2224 1.21401 3.12466 1.48008 0.00170953 0.00170953 0.00170953

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task: detect
mode: train
model: yolov8n.pt
data:
path: C:\Users\vincent.hanewinkel\Projekts\Hochschule\NAO_Roboter_Erkennung\yolo_dataset
train: train/images
val: val/images
names:
0: NAO-Roboter
nc: 1
epochs: 100
time: null
patience: 100
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: yolo_training
name: NAO_detector4
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
stream_buffer: false
visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
embed: null
show: false
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save_txt: false
save_conf: false
save_crop: false
show_labels: true
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line_width: null
format: torchscript
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int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
lrf: 0.01
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3.0
warmup_momentum: 0.8
warmup_bias_lr: 0.1
box: 7.5
cls: 0.5
dfl: 1.5
pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
scale: 0.5
shear: 0.0
perspective: 0.0
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mixup: 0.0
cutmix: 0.0
copy_paste: 0.0
copy_paste_mode: flip
auto_augment: randaugment
erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector4

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task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset/dataset.yaml
epochs: 100
time: null
patience: 100
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: yolo_training
name: NAO_detector5
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
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int8: false
dynamic: false
simplify: true
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lr0: 0.01
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box: 7.5
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pose: 12.0
kobj: 1.0
nbs: 64
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hsv_v: 0.4
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erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector5

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task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset/dataset.yaml
epochs: 100
time: null
patience: 100
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: yolo_training
name: NAO_detector6
exist_ok: false
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verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
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amp: true
fraction: 1.0
profile: false
freeze: null
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val: true
split: val
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conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
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box: 7.5
cls: 0.5
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pose: 12.0
kobj: 1.0
nbs: 64
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hsv_v: 0.4
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erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector6

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task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset/dataset.yaml
epochs: 100
time: null
patience: 100
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: yolo_training
name: NAO_detector7
exist_ok: false
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verbose: true
seed: 0
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single_cls: false
rect: false
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amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
overlap_mask: true
mask_ratio: 4
dropout: 0.0
val: true
split: val
save_json: false
conf: null
iou: 0.7
max_det: 300
half: false
dnn: false
plots: true
source: null
vid_stride: 1
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visualize: false
augment: false
agnostic_nms: false
classes: null
retina_masks: false
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line_width: null
format: torchscript
keras: false
optimize: false
int8: false
dynamic: false
simplify: true
opset: null
workspace: null
nms: false
lr0: 0.01
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pose: 12.0
kobj: 1.0
nbs: 64
hsv_h: 0.015
hsv_s: 0.7
hsv_v: 0.4
degrees: 0.0
translate: 0.1
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erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector7

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task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset\dataset.yaml
epochs: 50
time: null
patience: 5
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: yolo_training
name: NAO_detector8
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verbose: true
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single_cls: false
rect: false
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amp: true
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erasing: 0.4
cfg: null
tracker: botsort.yaml
save_dir: yolo_training\NAO_detector8

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task: detect
mode: train
model: yolov8n.pt
data: yolo_dataset\dataset.yaml
epochs: 50
time: null
patience: 5
batch: 16
imgsz: 640
save: true
save_period: -1
cache: false
device: cpu
workers: 8
project: yolo_training
name: NAO_detector9
exist_ok: false
pretrained: true
optimizer: auto
verbose: true
seed: 0
deterministic: true
single_cls: false
rect: false
cos_lr: false
close_mosaic: 10
resume: false
amp: true
fraction: 1.0
profile: false
freeze: null
multi_scale: false
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val: true
split: val
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conf: null
iou: 0.7
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plots: true
source: null
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tracker: botsort.yaml
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