Upload all YOLO runs (freeze=10 layers, resume supported)
Browse files- .gitattributes +12 -0
- runs/MANIFEST.json +6 -0
- runs/yolov12l/F1_curve.png +0 -0
- runs/yolov12l/PR_curve.png +0 -0
- runs/yolov12l/P_curve.png +0 -0
- runs/yolov12l/R_curve.png +0 -0
- runs/yolov12l/args.yaml +106 -0
- runs/yolov12l/confusion_matrix.png +0 -0
- runs/yolov12l/confusion_matrix_normalized.png +0 -0
- runs/yolov12l/events.out.tfevents.1760445859.d3514bd0f4e9.19.0 +3 -0
- runs/yolov12l/hparams.json +16 -0
- runs/yolov12l/labels.jpg +3 -0
- runs/yolov12l/labels_correlogram.jpg +3 -0
- runs/yolov12l/results.csv +92 -0
- runs/yolov12l/results.png +3 -0
- runs/yolov12l/train_batch0.jpg +3 -0
- runs/yolov12l/train_batch1.jpg +3 -0
- runs/yolov12l/train_batch2.jpg +3 -0
- runs/yolov12l/val_batch0_labels.jpg +3 -0
- runs/yolov12l/val_batch0_pred.jpg +3 -0
- runs/yolov12l/val_batch1_labels.jpg +3 -0
- runs/yolov12l/val_batch1_pred.jpg +3 -0
- runs/yolov12l/val_batch2_labels.jpg +3 -0
- runs/yolov12l/val_batch2_pred.jpg +3 -0
- runs/yolov12l/weights/best.pt +3 -0
- runs/yolov12l/weights/last.pt +3 -0
.gitattributes
CHANGED
|
@@ -120,3 +120,15 @@ _summary/yolov12m/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
|
| 120 |
_summary/yolov12m/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 121 |
_summary/yolov12m/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 122 |
_summary/yolov12m/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 120 |
_summary/yolov12m/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 121 |
_summary/yolov12m/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 122 |
_summary/yolov12m/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 123 |
+
runs/yolov12l/labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 124 |
+
runs/yolov12l/labels_correlogram.jpg filter=lfs diff=lfs merge=lfs -text
|
| 125 |
+
runs/yolov12l/results.png filter=lfs diff=lfs merge=lfs -text
|
| 126 |
+
runs/yolov12l/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
|
| 127 |
+
runs/yolov12l/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 128 |
+
runs/yolov12l/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 129 |
+
runs/yolov12l/val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 130 |
+
runs/yolov12l/val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 131 |
+
runs/yolov12l/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 132 |
+
runs/yolov12l/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 133 |
+
runs/yolov12l/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 134 |
+
runs/yolov12l/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
runs/MANIFEST.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"model": "yolov12l",
|
| 4 |
+
"path_in_repo": "runs/yolov12l"
|
| 5 |
+
}
|
| 6 |
+
]
|
runs/yolov12l/F1_curve.png
ADDED
|
runs/yolov12l/PR_curve.png
ADDED
|
runs/yolov12l/P_curve.png
ADDED
|
runs/yolov12l/R_curve.png
ADDED
|
runs/yolov12l/args.yaml
ADDED
|
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: yolov12l.pt
|
| 4 |
+
data: /kaggle/input/brisc-yolo/data.yaml
|
| 5 |
+
epochs: 150
|
| 6 |
+
time: null
|
| 7 |
+
patience: 20
|
| 8 |
+
batch: 4
|
| 9 |
+
imgsz: 512
|
| 10 |
+
save: true
|
| 11 |
+
save_period: -1
|
| 12 |
+
cache: false
|
| 13 |
+
device: 0
|
| 14 |
+
workers: 4
|
| 15 |
+
project: null
|
| 16 |
+
name: train
|
| 17 |
+
exist_ok: false
|
| 18 |
+
pretrained: true
|
| 19 |
+
optimizer: auto
|
| 20 |
+
verbose: false
|
| 21 |
+
seed: 0
|
| 22 |
+
deterministic: true
|
| 23 |
+
single_cls: false
|
| 24 |
+
rect: false
|
| 25 |
+
cos_lr: true
|
| 26 |
+
close_mosaic: 10
|
| 27 |
+
resume: false
|
| 28 |
+
amp: true
|
| 29 |
+
fraction: 1.0
|
| 30 |
+
profile: false
|
| 31 |
+
freeze: 10
|
| 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: 0.0
|
| 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: 0.1
|
| 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: /kaggle/working/yolov12/runs/detect/train
|
runs/yolov12l/confusion_matrix.png
ADDED
|
runs/yolov12l/confusion_matrix_normalized.png
ADDED
|
runs/yolov12l/events.out.tfevents.1760445859.d3514bd0f4e9.19.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7cc52fad81298a7264448851acf79c5f1dd462f413cd3961930dd9aa2fe1155f
|
| 3 |
+
size 990164
|
runs/yolov12l/hparams.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "yolov12l.pt",
|
| 3 |
+
"data": "/kaggle/input/brisc-yolo/data.yaml",
|
| 4 |
+
"imgsz": 512,
|
| 5 |
+
"batch": 4,
|
| 6 |
+
"epochs": 150,
|
| 7 |
+
"patience": 20,
|
| 8 |
+
"cos_lr": true,
|
| 9 |
+
"lr0": 0.01,
|
| 10 |
+
"lrf": 0.01,
|
| 11 |
+
"device": 0,
|
| 12 |
+
"workers": 4,
|
| 13 |
+
"optimizer": "auto",
|
| 14 |
+
"verbose": false,
|
| 15 |
+
"freeze": 10
|
| 16 |
+
}
|
runs/yolov12l/labels.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/labels_correlogram.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/results.csv
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
1,142.064,1.80082,1.81043,1.92626,0.78009,0.61023,0.7234,0.36505,1.78355,1.99711,2.17944,0.00066582,0.00066582,0.00066582
|
| 3 |
+
2,262.241,1.79978,1.42798,1.96616,0.77969,0.62607,0.73497,0.37844,1.69702,1.55241,2.13392,0.00133234,0.00133234,0.00133234
|
| 4 |
+
3,380.444,1.709,1.33319,1.90051,0.81086,0.7028,0.80402,0.4199,1.69497,1.16344,2.09827,0.00199828,0.00199828,0.00199828
|
| 5 |
+
4,497.895,1.67416,1.2415,1.84847,0.82087,0.7162,0.81786,0.44162,1.65632,1.13289,2.03643,0.00199805,0.00199805,0.00199805
|
| 6 |
+
5,614.726,1.67239,1.19956,1.85679,0.8142,0.73123,0.81381,0.4394,1.66339,1.12893,2.06037,0.00199653,0.00199653,0.00199653
|
| 7 |
+
6,731.783,1.61309,1.1068,1.79949,0.85219,0.77588,0.85876,0.48171,1.5884,0.9914,1.96816,0.00199458,0.00199458,0.00199458
|
| 8 |
+
7,848.896,1.59659,1.08531,1.78465,0.85085,0.72959,0.83877,0.47721,1.64334,1.01943,2.01561,0.00199219,0.00199219,0.00199219
|
| 9 |
+
8,965.837,1.56595,1.07083,1.75372,0.84761,0.80512,0.87869,0.51025,1.56416,0.9138,1.93651,0.00198938,0.00198938,0.00198938
|
| 10 |
+
9,1082.85,1.56871,1.04303,1.76408,0.85395,0.76913,0.86834,0.49306,1.62672,0.96043,2.00474,0.00198614,0.00198614,0.00198614
|
| 11 |
+
10,1200.26,1.57845,1.04945,1.75753,0.86681,0.79659,0.88052,0.50721,1.53115,0.94968,1.89223,0.00198246,0.00198246,0.00198246
|
| 12 |
+
11,1317.98,1.55921,1.01028,1.73851,0.83444,0.80999,0.88811,0.50875,1.54556,0.9,1.91922,0.00197837,0.00197837,0.00197837
|
| 13 |
+
12,1435.06,1.51097,0.97884,1.71145,0.84747,0.79856,0.88053,0.50488,1.53832,0.93438,1.90907,0.00197384,0.00197384,0.00197384
|
| 14 |
+
13,1552.3,1.5601,0.96774,1.73292,0.85708,0.78806,0.88172,0.51371,1.54111,0.87286,1.91082,0.0019689,0.0019689,0.0019689
|
| 15 |
+
14,1669.74,1.49516,0.94281,1.6838,0.89693,0.79659,0.88699,0.5194,1.51937,0.83722,1.89937,0.00196353,0.00196353,0.00196353
|
| 16 |
+
15,1787.64,1.51586,0.94559,1.71282,0.86296,0.80537,0.88831,0.52792,1.52553,0.83957,1.90787,0.00195775,0.00195775,0.00195775
|
| 17 |
+
16,1904.92,1.49697,0.89369,1.69015,0.88968,0.82948,0.90141,0.53379,1.50939,0.80163,1.88987,0.00195155,0.00195155,0.00195155
|
| 18 |
+
17,2022.31,1.50274,0.91741,1.70212,0.87885,0.81287,0.89607,0.52927,1.49163,0.83336,1.87901,0.00194493,0.00194493,0.00194493
|
| 19 |
+
18,2139.59,1.48661,0.88047,1.66411,0.86813,0.80988,0.89094,0.52677,1.51786,0.84986,1.88883,0.00193791,0.00193791,0.00193791
|
| 20 |
+
19,2257.29,1.49111,0.90494,1.67868,0.88033,0.80633,0.89546,0.5321,1.50029,0.82785,1.88679,0.00193048,0.00193048,0.00193048
|
| 21 |
+
20,2374.66,1.46853,0.86501,1.65267,0.90282,0.80024,0.90273,0.53948,1.50926,0.81034,1.88712,0.00192264,0.00192264,0.00192264
|
| 22 |
+
21,2491.96,1.46403,0.87506,1.65135,0.87422,0.80999,0.88638,0.50358,1.59844,0.82663,1.97085,0.00191441,0.00191441,0.00191441
|
| 23 |
+
22,2609.65,1.4635,0.84406,1.66482,0.89383,0.81973,0.91087,0.53544,1.52026,0.79452,1.87874,0.00190578,0.00190578,0.00190578
|
| 24 |
+
23,2727.54,1.45529,0.85006,1.64794,0.88294,0.81765,0.90014,0.54096,1.4911,0.80048,1.84855,0.00189675,0.00189675,0.00189675
|
| 25 |
+
24,2844.76,1.42793,0.84523,1.62824,0.90661,0.81586,0.90414,0.54047,1.51368,0.76865,1.88071,0.00188734,0.00188734,0.00188734
|
| 26 |
+
25,2962.47,1.43558,0.82176,1.63438,0.89757,0.83249,0.9054,0.5349,1.51037,0.78636,1.87619,0.00187754,0.00187754,0.00187754
|
| 27 |
+
26,3079.85,1.43617,0.83682,1.64124,0.8823,0.83087,0.90378,0.54231,1.49209,0.7769,1.8523,0.00186737,0.00186737,0.00186737
|
| 28 |
+
27,3197.29,1.42844,0.83441,1.63384,0.89165,0.83191,0.90718,0.5403,1.52866,0.77433,1.8721,0.00185681,0.00185681,0.00185681
|
| 29 |
+
28,3314.37,1.41805,0.81227,1.63022,0.87076,0.83191,0.90505,0.54211,1.49707,0.77999,1.87042,0.00184588,0.00184588,0.00184588
|
| 30 |
+
29,3431.52,1.42179,0.80891,1.62883,0.89098,0.82339,0.89957,0.53186,1.52151,0.7736,1.87459,0.00183459,0.00183459,0.00183459
|
| 31 |
+
30,3549.21,1.4137,0.7866,1.61647,0.93354,0.81851,0.91136,0.54602,1.49314,0.7383,1.86327,0.00182294,0.00182294,0.00182294
|
| 32 |
+
31,3666.59,1.39963,0.7783,1.62213,0.88798,0.82948,0.90547,0.54676,1.49389,0.74989,1.86101,0.00181093,0.00181093,0.00181093
|
| 33 |
+
32,3784.21,1.40384,0.78053,1.60736,0.89639,0.82339,0.90935,0.55031,1.48181,0.7374,1.84018,0.00179856,0.00179856,0.00179856
|
| 34 |
+
33,3901.78,1.40106,0.78585,1.59713,0.87314,0.82994,0.89994,0.53089,1.51552,0.76452,1.89656,0.00178586,0.00178586,0.00178586
|
| 35 |
+
34,4018.99,1.39283,0.79815,1.6128,0.90923,0.82967,0.91283,0.54823,1.5055,0.74353,1.89397,0.00177281,0.00177281,0.00177281
|
| 36 |
+
35,4136.65,1.38943,0.76938,1.60358,0.88459,0.84021,0.90475,0.5431,1.5043,0.74786,1.87776,0.00175943,0.00175943,0.00175943
|
| 37 |
+
36,4254.02,1.37846,0.7764,1.6029,0.92364,0.82704,0.90495,0.54986,1.50378,0.71457,1.86834,0.00174571,0.00174571,0.00174571
|
| 38 |
+
37,4371.32,1.37758,0.76118,1.59751,0.92272,0.84409,0.91872,0.55579,1.48576,0.72131,1.88046,0.00173168,0.00173168,0.00173168
|
| 39 |
+
38,4488.44,1.37227,0.77339,1.59585,0.90151,0.83621,0.90495,0.54237,1.50294,0.75444,1.87281,0.00171733,0.00171733,0.00171733
|
| 40 |
+
39,4605.91,1.38077,0.74812,1.58651,0.90128,0.83402,0.90534,0.54926,1.49225,0.74793,1.86003,0.00170267,0.00170267,0.00170267
|
| 41 |
+
40,4722.96,1.37401,0.74565,1.58153,0.93028,0.81264,0.90927,0.55045,1.49775,0.72522,1.86196,0.0016877,0.0016877,0.0016877
|
| 42 |
+
41,4839.84,1.38173,0.74043,1.59831,0.91996,0.84,0.91633,0.54786,1.52015,0.72477,1.87097,0.00167244,0.00167244,0.00167244
|
| 43 |
+
42,4956.49,1.35804,0.73749,1.57739,0.91965,0.84409,0.9138,0.54632,1.51383,0.70751,1.87677,0.00165689,0.00165689,0.00165689
|
| 44 |
+
43,5073.76,1.3667,0.75012,1.57522,0.91105,0.84409,0.91244,0.55325,1.48886,0.71352,1.86794,0.00164105,0.00164105,0.00164105
|
| 45 |
+
44,5190.7,1.35948,0.73129,1.56836,0.9135,0.83614,0.91131,0.54789,1.50184,0.7182,1.87892,0.00162494,0.00162494,0.00162494
|
| 46 |
+
45,5308.33,1.34382,0.73121,1.5692,0.88599,0.85505,0.90967,0.55098,1.49933,0.72296,1.86214,0.00160855,0.00160855,0.00160855
|
| 47 |
+
46,5426.29,1.36757,0.72372,1.5857,0.92125,0.82582,0.91234,0.55892,1.48086,0.7018,1.85234,0.00159191,0.00159191,0.00159191
|
| 48 |
+
47,5544.25,1.33624,0.72903,1.56464,0.89693,0.8514,0.90987,0.55572,1.49162,0.70814,1.8656,0.00157501,0.00157501,0.00157501
|
| 49 |
+
48,5662.34,1.33831,0.71781,1.5591,0.89818,0.85384,0.90947,0.55296,1.4855,0.71923,1.84897,0.00155786,0.00155786,0.00155786
|
| 50 |
+
49,5779.8,1.3308,0.72395,1.55228,0.90508,0.84653,0.91363,0.55826,1.49071,0.70356,1.86028,0.00154047,0.00154047,0.00154047
|
| 51 |
+
50,5897.11,1.3244,0.70489,1.55896,0.88795,0.8591,0.90607,0.54852,1.50612,0.70138,1.87792,0.00152285,0.00152285,0.00152285
|
| 52 |
+
51,6015.79,1.3183,0.69986,1.54204,0.88731,0.86316,0.91287,0.55758,1.48639,0.68941,1.863,0.001505,0.001505,0.001505
|
| 53 |
+
52,6133.4,1.31406,0.70243,1.53799,0.91014,0.86359,0.91368,0.54814,1.49463,0.71141,1.86954,0.00148694,0.00148694,0.00148694
|
| 54 |
+
53,6251.27,1.31794,0.68376,1.53288,0.92166,0.85976,0.91649,0.55425,1.51941,0.68986,1.88945,0.00146866,0.00146866,0.00146866
|
| 55 |
+
54,6370.65,1.31707,0.69876,1.54697,0.91369,0.85505,0.91366,0.55646,1.51552,0.70222,1.87805,0.00145019,0.00145019,0.00145019
|
| 56 |
+
55,6488.92,1.31395,0.67929,1.53775,0.91958,0.84409,0.92204,0.55197,1.51941,0.70048,1.87409,0.00143152,0.00143152,0.00143152
|
| 57 |
+
56,6606.05,1.30737,0.68612,1.54858,0.89023,0.86967,0.91699,0.55135,1.50628,0.70374,1.86996,0.00141267,0.00141267,0.00141267
|
| 58 |
+
57,6724.36,1.29071,0.67478,1.52187,0.91386,0.8648,0.91719,0.54865,1.52165,0.68396,1.91047,0.00139364,0.00139364,0.00139364
|
| 59 |
+
58,6842.48,1.29626,0.66297,1.52184,0.90263,0.85627,0.91541,0.55479,1.50991,0.68036,1.88779,0.00137444,0.00137444,0.00137444
|
| 60 |
+
59,6959.74,1.29525,0.67114,1.52223,0.90894,0.85103,0.91322,0.55643,1.52238,0.68223,1.89859,0.00135509,0.00135509,0.00135509
|
| 61 |
+
60,7077.43,1.28263,0.65021,1.50839,0.93197,0.85505,0.92079,0.5574,1.50435,0.66926,1.90093,0.00133558,0.00133558,0.00133558
|
| 62 |
+
61,7195.55,1.29766,0.66385,1.51324,0.90852,0.86236,0.91383,0.55002,1.5191,0.69572,1.89893,0.00131593,0.00131593,0.00131593
|
| 63 |
+
62,7313.27,1.27925,0.65265,1.5206,0.89792,0.85712,0.9199,0.54897,1.50922,0.68326,1.8995,0.00129614,0.00129614,0.00129614
|
| 64 |
+
63,7431.36,1.27527,0.65444,1.4949,0.89919,0.86236,0.91654,0.55381,1.50858,0.67855,1.89361,0.00127623,0.00127623,0.00127623
|
| 65 |
+
64,7549.56,1.28745,0.65251,1.51855,0.90152,0.86977,0.92574,0.56023,1.5153,0.69367,1.88975,0.0012562,0.0012562,0.0012562
|
| 66 |
+
65,7667.5,1.28343,0.6526,1.51907,0.93698,0.85119,0.92769,0.55888,1.50065,0.67032,1.87285,0.00123607,0.00123607,0.00123607
|
| 67 |
+
66,7785.36,1.26614,0.63895,1.50087,0.92997,0.85726,0.92479,0.55826,1.51573,0.66851,1.88974,0.00121583,0.00121583,0.00121583
|
| 68 |
+
67,7904.11,1.28718,0.64647,1.51495,0.92668,0.86213,0.92322,0.56084,1.51646,0.66554,1.89988,0.00119551,0.00119551,0.00119551
|
| 69 |
+
68,8022.41,1.25921,0.64592,1.49798,0.90266,0.86845,0.91884,0.55198,1.50842,0.67059,1.89172,0.0011751,0.0011751,0.0011751
|
| 70 |
+
69,8140.61,1.24739,0.61869,1.48324,0.90402,0.87089,0.9266,0.55975,1.51297,0.65723,1.91083,0.00115462,0.00115462,0.00115462
|
| 71 |
+
70,8258.27,1.24963,0.63645,1.48148,0.92277,0.85749,0.92278,0.56168,1.50676,0.6768,1.88941,0.00113408,0.00113408,0.00113408
|
| 72 |
+
71,8377.29,1.25595,0.61879,1.48878,0.9073,0.86236,0.91944,0.56406,1.51734,0.64683,1.90006,0.00111348,0.00111348,0.00111348
|
| 73 |
+
72,8495.61,1.24802,0.6202,1.48218,0.89368,0.88551,0.92345,0.55698,1.52853,0.67004,1.90809,0.00109284,0.00109284,0.00109284
|
| 74 |
+
73,8613.59,1.2441,0.62509,1.47882,0.91331,0.85262,0.91623,0.55445,1.52935,0.67132,1.92063,0.00107216,0.00107216,0.00107216
|
| 75 |
+
74,8731.08,1.24685,0.62036,1.47966,0.92675,0.84751,0.9116,0.54754,1.54081,0.67115,1.94436,0.00105146,0.00105146,0.00105146
|
| 76 |
+
75,8849.19,1.25488,0.62901,1.48964,0.89154,0.86845,0.91958,0.55764,1.53127,0.65467,1.92486,0.00103073,0.00103073,0.00103073
|
| 77 |
+
76,8967.46,1.24815,0.62567,1.48878,0.91627,0.86358,0.92443,0.55587,1.5246,0.66427,1.92022,0.00101,0.00101,0.00101
|
| 78 |
+
77,9085.92,1.22136,0.62116,1.46901,0.914,0.87333,0.92131,0.55701,1.52893,0.64763,1.92447,0.000989267,0.000989267,0.000989267
|
| 79 |
+
78,9205.85,1.21536,0.60535,1.47954,0.92332,0.86236,0.92482,0.56227,1.51214,0.67198,1.90457,0.000968543,0.000968543,0.000968543
|
| 80 |
+
79,9325.46,1.20146,0.60256,1.45886,0.90391,0.8708,0.922,0.55365,1.52936,0.6538,1.93164,0.000947837,0.000947837,0.000947837
|
| 81 |
+
80,9444.25,1.2331,0.6236,1.48166,0.92016,0.85262,0.91764,0.55732,1.51627,0.64502,1.92522,0.000927159,0.000927159,0.000927159
|
| 82 |
+
81,9562.56,1.22773,0.6,1.47982,0.93343,0.85391,0.92722,0.55673,1.52335,0.64491,1.92445,0.000906517,0.000906517,0.000906517
|
| 83 |
+
82,9680.46,1.21353,0.59999,1.46156,0.92059,0.8613,0.92368,0.56086,1.50833,0.654,1.90598,0.00088592,0.00088592,0.00088592
|
| 84 |
+
83,9798.57,1.21301,0.59667,1.46817,0.9106,0.87454,0.92325,0.56338,1.5177,0.65307,1.91184,0.000865378,0.000865378,0.000865378
|
| 85 |
+
84,9916.69,1.21393,0.60352,1.44981,0.92044,0.85958,0.92101,0.55772,1.52056,0.66364,1.92303,0.000844899,0.000844899,0.000844899
|
| 86 |
+
85,10034.1,1.20091,0.58338,1.44141,0.90122,0.88307,0.92602,0.55984,1.52506,0.65383,1.94101,0.000824492,0.000824492,0.000824492
|
| 87 |
+
86,10152,1.20793,0.59266,1.45724,0.92171,0.85993,0.92391,0.55589,1.52865,0.64634,1.94003,0.000804167,0.000804167,0.000804167
|
| 88 |
+
87,10269.8,1.20141,0.5913,1.45319,0.91002,0.88063,0.92646,0.55748,1.53621,0.65956,1.9472,0.000783933,0.000783933,0.000783933
|
| 89 |
+
88,10388,1.18633,0.58539,1.44826,0.91414,0.86884,0.92723,0.55898,1.5402,0.65195,1.94546,0.000763797,0.000763797,0.000763797
|
| 90 |
+
89,10505.4,1.17618,0.58508,1.437,0.91805,0.86845,0.92221,0.55648,1.5364,0.64777,1.96142,0.000743769,0.000743769,0.000743769
|
| 91 |
+
90,10622.6,1.19405,0.58584,1.4513,0.92808,0.88023,0.93095,0.56264,1.53847,0.6418,1.9455,0.000723859,0.000723859,0.000723859
|
| 92 |
+
91,10740.7,1.18948,0.58563,1.44354,0.93614,0.87498,0.93319,0.56212,1.52253,0.64096,1.93907,0.000704073,0.000704073,0.000704073
|
runs/yolov12l/results.png
ADDED
|
Git LFS Details
|
runs/yolov12l/train_batch0.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/train_batch1.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/train_batch2.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/val_batch0_labels.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/val_batch0_pred.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/val_batch1_labels.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/val_batch1_pred.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/val_batch2_labels.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/val_batch2_pred.jpg
ADDED
|
Git LFS Details
|
runs/yolov12l/weights/best.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aebfbfe46611664fe0956ab01658705a3b93fb7e84f35e941c34a47e0ff5a861
|
| 3 |
+
size 53652922
|
runs/yolov12l/weights/last.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df65e26a155d468f971b298241f91d4c5611f897c5070f7e70bfea2e8c2e726c
|
| 3 |
+
size 53652922
|