add models
Browse files- .gitattributes +30 -0
- models/yolov11s_v1/BoxF1_curve.png +3 -0
- models/yolov11s_v1/BoxPR_curve.png +3 -0
- models/yolov11s_v1/BoxP_curve.png +3 -0
- models/yolov11s_v1/BoxR_curve.png +3 -0
- models/yolov11s_v1/args.yaml +106 -0
- models/yolov11s_v1/confusion_matrix.png +3 -0
- models/yolov11s_v1/confusion_matrix_normalized.png +3 -0
- models/yolov11s_v1/labels.jpg +3 -0
- models/yolov11s_v1/results.csv +96 -0
- models/yolov11s_v1/results.png +3 -0
- models/yolov11s_v1/train_batch0.jpg +3 -0
- models/yolov11s_v1/train_batch1.jpg +3 -0
- models/yolov11s_v1/train_batch2.jpg +3 -0
- models/yolov11s_v1/val_batch0_labels.jpg +3 -0
- models/yolov11s_v1/val_batch0_pred.jpg +3 -0
- models/yolov11s_v1/val_batch1_labels.jpg +3 -0
- models/yolov11s_v1/val_batch1_pred.jpg +3 -0
- models/yolov11s_v1/val_batch2_labels.jpg +3 -0
- models/yolov11s_v1/val_batch2_pred.jpg +3 -0
- models/yolov11s_v2/BoxF1_curve.png +3 -0
- models/yolov11s_v2/BoxPR_curve.png +0 -0
- models/yolov11s_v2/BoxP_curve.png +0 -0
- models/yolov11s_v2/BoxR_curve.png +0 -0
- models/yolov11s_v2/args.yaml +106 -0
- models/yolov11s_v2/confusion_matrix.png +0 -0
- models/yolov11s_v2/confusion_matrix_normalized.png +0 -0
- models/yolov11s_v2/labels.jpg +3 -0
- models/yolov11s_v2/results.csv +51 -0
- models/yolov11s_v2/results.png +3 -0
- models/yolov11s_v2/train_batch0.jpg +3 -0
- models/yolov11s_v2/train_batch1.jpg +3 -0
- models/yolov11s_v2/train_batch2.jpg +3 -0
- models/yolov11s_v2/train_batch600.jpg +3 -0
- models/yolov11s_v2/train_batch601.jpg +3 -0
- models/yolov11s_v2/train_batch602.jpg +3 -0
- models/yolov11s_v2/val_batch0_labels.jpg +3 -0
- models/yolov11s_v2/val_batch0_pred.jpg +3 -0
- models/yolov11s_v2/val_batch1_labels.jpg +3 -0
- models/yolov11s_v2/val_batch1_pred.jpg +3 -0
- models/yolov11s_v2/weights/best.pt +3 -0
- models/yolov11s_v2/weights/epoch0.pt +3 -0
- models/yolov11s_v2/weights/last.pt +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,33 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
models/yolov11s_v1/BoxF1_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
models/yolov11s_v1/BoxP_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
models/yolov11s_v1/BoxPR_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
models/yolov11s_v1/BoxR_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
models/yolov11s_v1/confusion_matrix_normalized.png filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
models/yolov11s_v1/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
models/yolov11s_v1/labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
models/yolov11s_v1/results.png filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
models/yolov11s_v1/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
models/yolov11s_v1/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
models/yolov11s_v1/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
models/yolov11s_v1/val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
models/yolov11s_v1/val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
models/yolov11s_v1/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
models/yolov11s_v1/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
models/yolov11s_v1/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
models/yolov11s_v1/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 53 |
+
models/yolov11s_v2/BoxF1_curve.png filter=lfs diff=lfs merge=lfs -text
|
| 54 |
+
models/yolov11s_v2/labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
models/yolov11s_v2/results.png filter=lfs diff=lfs merge=lfs -text
|
| 56 |
+
models/yolov11s_v2/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
|
| 57 |
+
models/yolov11s_v2/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
|
| 58 |
+
models/yolov11s_v2/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 59 |
+
models/yolov11s_v2/train_batch600.jpg filter=lfs diff=lfs merge=lfs -text
|
| 60 |
+
models/yolov11s_v2/train_batch601.jpg filter=lfs diff=lfs merge=lfs -text
|
| 61 |
+
models/yolov11s_v2/train_batch602.jpg filter=lfs diff=lfs merge=lfs -text
|
| 62 |
+
models/yolov11s_v2/val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 63 |
+
models/yolov11s_v2/val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
| 64 |
+
models/yolov11s_v2/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
|
| 65 |
+
models/yolov11s_v2/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
|
models/yolov11s_v1/BoxF1_curve.png
ADDED
|
Git LFS Details
|
models/yolov11s_v1/BoxPR_curve.png
ADDED
|
Git LFS Details
|
models/yolov11s_v1/BoxP_curve.png
ADDED
|
Git LFS Details
|
models/yolov11s_v1/BoxR_curve.png
ADDED
|
Git LFS Details
|
models/yolov11s_v1/args.yaml
ADDED
|
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: yolo11s.pt
|
| 4 |
+
data: config/data.yaml
|
| 5 |
+
epochs: 150
|
| 6 |
+
time: null
|
| 7 |
+
patience: 50
|
| 8 |
+
batch: 64
|
| 9 |
+
imgsz: 416
|
| 10 |
+
save: true
|
| 11 |
+
save_period: 20
|
| 12 |
+
cache: false
|
| 13 |
+
device: '0'
|
| 14 |
+
workers: 8
|
| 15 |
+
project: /content/nail-feature-detection/outputs/models
|
| 16 |
+
name: nail_detector_yolov11s
|
| 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: 1.0
|
| 30 |
+
profile: false
|
| 31 |
+
freeze: null
|
| 32 |
+
multi_scale: false
|
| 33 |
+
compile: false
|
| 34 |
+
overlap_mask: true
|
| 35 |
+
mask_ratio: 4
|
| 36 |
+
dropout: 0.0
|
| 37 |
+
val: true
|
| 38 |
+
split: val
|
| 39 |
+
save_json: 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: 0.1
|
| 99 |
+
cutmix: 0.0
|
| 100 |
+
copy_paste: 0.0
|
| 101 |
+
copy_paste_mode: flip
|
| 102 |
+
auto_augment: randaugment
|
| 103 |
+
erasing: 0.4
|
| 104 |
+
cfg: null
|
| 105 |
+
tracker: botsort.yaml
|
| 106 |
+
save_dir: /content/nail-feature-detection/outputs/models/nail_detector_yolov11s
|
models/yolov11s_v1/confusion_matrix.png
ADDED
|
Git LFS Details
|
models/yolov11s_v1/confusion_matrix_normalized.png
ADDED
|
Git LFS Details
|
models/yolov11s_v1/labels.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/results.csv
ADDED
|
@@ -0,0 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
1,83.3335,0.97185,2.70445,1.36042,0.21427,0.42267,0.24286,0.10325,1.94111,2.29287,2.44694,0.00329825,0.00329825,0.00329825
|
| 3 |
+
2,140.621,0.7856,1.64779,1.14302,0.10372,0.25301,0.09601,0.02967,2.91458,2.78294,4.73842,0.00658781,0.00658781,0.00658781
|
| 4 |
+
3,198.331,0.86111,1.62191,1.16966,0.51712,0.12028,0.06489,0.02024,2.89918,3.87562,5.73587,0.00983338,0.00983338,0.00983338
|
| 5 |
+
4,255.568,0.91946,1.68351,1.20452,0.05921,0.14195,0.04436,0.01295,3.01711,6.70287,6.04832,0.009802,0.009802,0.009802
|
| 6 |
+
5,313.245,0.87914,1.62518,1.18078,0.47682,0.13965,0.09732,0.03074,2.73229,3.07998,4.8765,0.009736,0.009736,0.009736
|
| 7 |
+
6,372.859,0.83175,1.54849,1.15129,0.25216,0.41718,0.29406,0.11447,2.12725,2.53215,3.10483,0.00967,0.00967,0.00967
|
| 8 |
+
7,430.374,0.80598,1.49382,1.13818,0.16658,0.31975,0.16634,0.06093,2.40486,2.91809,3.46997,0.009604,0.009604,0.009604
|
| 9 |
+
8,489.348,0.77983,1.45331,1.12299,0.16918,0.29374,0.1385,0.04647,2.37934,3.8852,4.01632,0.009538,0.009538,0.009538
|
| 10 |
+
9,548.146,0.76156,1.4096,1.11194,0.4677,0.41137,0.38624,0.1641,2.0961,1.91087,2.91308,0.009472,0.009472,0.009472
|
| 11 |
+
10,606.519,0.73991,1.37937,1.10404,0.48483,0.45977,0.40926,0.18186,1.89245,2.00073,2.56575,0.009406,0.009406,0.009406
|
| 12 |
+
11,664.091,0.71946,1.33429,1.09647,0.4105,0.31374,0.279,0.07847,2.94772,2.61171,5.20732,0.00934,0.00934,0.00934
|
| 13 |
+
12,721.72,0.70769,1.31771,1.08614,0.32633,0.46359,0.34475,0.12781,2.3589,2.07551,3.33521,0.009274,0.009274,0.009274
|
| 14 |
+
13,778.94,0.69566,1.28672,1.08422,0.52062,0.37873,0.37064,0.1131,2.81176,1.97341,4.46063,0.009208,0.009208,0.009208
|
| 15 |
+
14,836.951,0.68494,1.26362,1.07611,0.45834,0.50678,0.47159,0.1738,2.42457,1.69617,3.73146,0.009142,0.009142,0.009142
|
| 16 |
+
15,894.14,0.67051,1.22244,1.06812,0.48405,0.43992,0.43048,0.24998,1.50857,1.92337,1.99662,0.009076,0.009076,0.009076
|
| 17 |
+
16,953.358,0.66513,1.21394,1.06841,0.54424,0.47872,0.50074,0.20788,2.19746,1.67036,2.84071,0.00901,0.00901,0.00901
|
| 18 |
+
17,1012.78,0.65534,1.19428,1.06111,0.44952,0.41497,0.39966,0.14016,2.42528,2.11365,3.24389,0.008944,0.008944,0.008944
|
| 19 |
+
18,1071.24,0.64747,1.18073,1.05934,0.52339,0.36437,0.38782,0.13453,2.57738,1.8444,3.97301,0.008878,0.008878,0.008878
|
| 20 |
+
19,1129.57,0.64816,1.15491,1.05724,0.56611,0.50343,0.52129,0.19941,2.2883,1.70785,3.07413,0.008812,0.008812,0.008812
|
| 21 |
+
20,1188.65,0.63307,1.13802,1.05342,0.51956,0.52369,0.54785,0.23733,2.06083,1.70941,2.5992,0.008746,0.008746,0.008746
|
| 22 |
+
21,1247.19,0.63604,1.11304,1.05229,0.52148,0.5484,0.52224,0.23406,2.03486,1.64255,2.65274,0.00868,0.00868,0.00868
|
| 23 |
+
22,1307.15,0.6233,1.09696,1.04877,0.519,0.51196,0.53374,0.25246,1.83969,1.69445,2.24708,0.008614,0.008614,0.008614
|
| 24 |
+
23,1365.64,0.62227,1.08478,1.04767,0.41879,0.35153,0.32762,0.10328,2.96199,2.08441,5.17527,0.008548,0.008548,0.008548
|
| 25 |
+
24,1425.11,0.61088,1.0576,1.04139,0.6165,0.56403,0.61185,0.28973,1.76502,1.54774,2.23457,0.008482,0.008482,0.008482
|
| 26 |
+
25,1484.12,0.61062,1.0421,1.04249,0.59399,0.56037,0.59936,0.2905,1.86268,1.63424,2.35884,0.008416,0.008416,0.008416
|
| 27 |
+
26,1543.8,0.60672,1.04955,1.04179,0.56664,0.54268,0.56871,0.26031,1.92692,1.64131,2.55903,0.00835,0.00835,0.00835
|
| 28 |
+
27,1601.97,0.60008,1.02149,1.0393,0.51667,0.47731,0.50101,0.20155,2.29446,1.94417,3.12177,0.008284,0.008284,0.008284
|
| 29 |
+
28,1661.9,0.59756,1.01994,1.0377,0.44897,0.41872,0.39786,0.14248,2.67603,2.02576,4.34509,0.008218,0.008218,0.008218
|
| 30 |
+
29,1720.42,0.58871,1.0031,1.03394,0.45393,0.45645,0.40628,0.12627,2.78267,1.92444,4.47033,0.008152,0.008152,0.008152
|
| 31 |
+
30,1780.18,0.58666,0.98503,1.03052,0.63015,0.49489,0.53892,0.20537,2.27782,1.58398,3.22103,0.008086,0.008086,0.008086
|
| 32 |
+
31,1838.93,0.5757,0.97023,1.02925,0.50625,0.51597,0.53133,0.21119,2.32125,1.9647,3.15328,0.00802,0.00802,0.00802
|
| 33 |
+
32,1897.64,0.5842,0.97456,1.03109,0.53948,0.56058,0.57163,0.24158,2.02319,1.50043,2.71371,0.007954,0.007954,0.007954
|
| 34 |
+
33,1955.67,0.57974,0.96449,1.02885,0.62827,0.61368,0.66591,0.28788,1.97748,1.44271,2.62069,0.007888,0.007888,0.007888
|
| 35 |
+
34,2013.74,0.56901,0.94319,1.0245,0.49035,0.52346,0.46357,0.16695,2.48235,1.79692,3.71615,0.007822,0.007822,0.007822
|
| 36 |
+
35,2071.09,0.56841,0.94185,1.02588,0.55959,0.50286,0.50691,0.18458,2.45877,1.58462,3.62363,0.007756,0.007756,0.007756
|
| 37 |
+
36,2129.83,0.56513,0.92661,1.0232,0.54842,0.5168,0.54023,0.22597,2.24797,1.7564,3.19476,0.00769,0.00769,0.00769
|
| 38 |
+
37,2187.31,0.56707,0.90652,1.02609,0.67112,0.64851,0.69737,0.3295,1.9115,1.34377,2.4897,0.007624,0.007624,0.007624
|
| 39 |
+
38,2245.75,0.5575,0.91124,1.02121,0.60513,0.50286,0.55541,0.24007,2.17996,1.90467,2.94084,0.007558,0.007558,0.007558
|
| 40 |
+
39,2303.78,0.55864,0.8996,1.02175,0.56068,0.46024,0.49339,0.18248,2.60369,1.93261,3.79294,0.007492,0.007492,0.007492
|
| 41 |
+
40,2362.88,0.55564,0.89667,1.01979,0.63801,0.55246,0.58904,0.26984,2.02392,1.86013,2.63917,0.007426,0.007426,0.007426
|
| 42 |
+
41,2420.93,0.55465,0.87908,1.01922,0.70659,0.53443,0.62937,0.32851,1.77674,1.96544,2.17397,0.00736,0.00736,0.00736
|
| 43 |
+
42,2480.54,0.5482,0.86832,1.0144,0.65518,0.66352,0.70047,0.34491,1.81545,1.34582,2.33685,0.007294,0.007294,0.007294
|
| 44 |
+
43,2539.85,0.55037,0.87754,1.01768,0.6297,0.55646,0.59887,0.27423,1.95311,1.64805,2.50221,0.007228,0.007228,0.007228
|
| 45 |
+
44,2599.57,0.54315,0.86386,1.01192,0.63568,0.57204,0.60618,0.2599,2.13256,1.73582,2.83445,0.007162,0.007162,0.007162
|
| 46 |
+
45,2658.52,0.54834,0.84812,1.0166,0.77409,0.65148,0.76851,0.4173,1.59232,1.14676,1.98453,0.007096,0.007096,0.007096
|
| 47 |
+
46,2718.61,0.54066,0.84523,1.00961,0.76712,0.64746,0.74695,0.3901,1.69146,1.16928,2.13471,0.00703,0.00703,0.00703
|
| 48 |
+
47,2777.29,0.54226,0.8309,1.01288,0.70324,0.62108,0.67601,0.27597,2.13696,1.23941,2.87562,0.006964,0.006964,0.006964
|
| 49 |
+
48,2837.02,0.5431,0.82809,1.01317,0.63301,0.63385,0.65116,0.28213,1.9858,1.44795,2.52254,0.006898,0.006898,0.006898
|
| 50 |
+
49,2895.96,0.53308,0.82228,1.0085,0.63693,0.64418,0.66022,0.29453,1.99569,1.39653,2.65017,0.006832,0.006832,0.006832
|
| 51 |
+
50,2953.76,0.53103,0.81011,1.00877,0.7133,0.58269,0.67191,0.31717,1.87954,1.70731,2.4837,0.006766,0.006766,0.006766
|
| 52 |
+
51,3011.32,0.52983,0.80268,1.00725,0.64283,0.59503,0.62334,0.23263,2.37351,1.46261,3.3981,0.0067,0.0067,0.0067
|
| 53 |
+
52,3069.63,0.52796,0.80458,1.00656,0.55219,0.62325,0.58372,0.22335,2.39816,1.53409,3.53501,0.006634,0.006634,0.006634
|
| 54 |
+
53,3127.05,0.52204,0.7894,1.00567,0.67367,0.66345,0.68196,0.31499,1.9045,1.33407,2.54635,0.006568,0.006568,0.006568
|
| 55 |
+
54,3185.87,0.52285,0.78378,1.00619,0.67118,0.61896,0.67089,0.27939,2.13947,1.44477,2.81724,0.006502,0.006502,0.006502
|
| 56 |
+
55,3243.59,0.52583,0.78643,1.00736,0.66344,0.6604,0.68636,0.32015,1.83987,1.35647,2.47209,0.006436,0.006436,0.006436
|
| 57 |
+
56,3303.26,0.52115,0.78222,1.00398,0.6682,0.66128,0.68155,0.29434,2.04033,1.25631,2.78315,0.00637,0.00637,0.00637
|
| 58 |
+
57,3361.06,0.51021,0.76802,0.99787,0.70004,0.71938,0.75366,0.33645,1.96322,1.16536,2.6549,0.006304,0.006304,0.006304
|
| 59 |
+
58,3419.23,0.51471,0.75173,1.00262,0.76313,0.65999,0.73427,0.39135,1.69178,1.24289,2.09562,0.006238,0.006238,0.006238
|
| 60 |
+
59,3476.12,0.51439,0.75429,1.00111,0.65925,0.58667,0.62467,0.23942,2.35672,1.49171,3.32757,0.006172,0.006172,0.006172
|
| 61 |
+
60,3533.66,0.50913,0.76532,0.99943,0.61199,0.60095,0.65098,0.29639,2.04129,1.52175,2.69991,0.006106,0.006106,0.006106
|
| 62 |
+
61,3591.34,0.50619,0.74268,0.9983,0.7377,0.65284,0.69631,0.29559,2.09513,1.21308,2.93976,0.00604,0.00604,0.00604
|
| 63 |
+
62,3648.9,0.50487,0.74046,0.99704,0.68074,0.70105,0.74966,0.40705,1.6457,1.15305,2.15561,0.005974,0.005974,0.005974
|
| 64 |
+
63,3707.02,0.50536,0.75178,0.99886,0.70975,0.67036,0.73285,0.34313,1.87763,1.28598,2.39533,0.005908,0.005908,0.005908
|
| 65 |
+
64,3764.06,0.50408,0.73684,0.99839,0.72178,0.68018,0.74031,0.3683,1.72951,1.26258,2.16804,0.005842,0.005842,0.005842
|
| 66 |
+
65,3821.98,0.50048,0.72359,0.99513,0.76169,0.71767,0.79158,0.40856,1.72883,1.08357,2.26372,0.005776,0.005776,0.005776
|
| 67 |
+
66,3878.14,0.49123,0.72216,0.99366,0.65859,0.65419,0.68421,0.29513,2.06886,1.30392,2.90075,0.00571,0.00571,0.00571
|
| 68 |
+
67,3935.16,0.49014,0.71095,0.99149,0.71212,0.71104,0.73354,0.2994,2.16741,1.16061,2.95322,0.005644,0.005644,0.005644
|
| 69 |
+
68,3992.93,0.49636,0.71327,0.9969,0.74632,0.67292,0.75448,0.40862,1.67939,1.19563,2.13089,0.005578,0.005578,0.005578
|
| 70 |
+
69,4049.35,0.49665,0.71532,0.99524,0.75575,0.61118,0.69265,0.29036,2.16421,1.28719,2.94599,0.005512,0.005512,0.005512
|
| 71 |
+
70,4106.38,0.49031,0.69442,0.99205,0.69962,0.62549,0.67224,0.28967,2.14119,1.31097,3.0087,0.005446,0.005446,0.005446
|
| 72 |
+
71,4163.8,0.48804,0.69135,0.99213,0.64934,0.61388,0.66951,0.27945,2.2132,1.49926,3.05535,0.00538,0.00538,0.00538
|
| 73 |
+
72,4220.55,0.4841,0.69704,0.98979,0.64389,0.65139,0.68458,0.30298,2.08066,1.32111,2.92109,0.005314,0.005314,0.005314
|
| 74 |
+
73,4278.27,0.4851,0.68456,0.99149,0.77419,0.64371,0.74472,0.37628,1.81036,1.23261,2.32404,0.005248,0.005248,0.005248
|
| 75 |
+
74,4334.54,0.47945,0.66635,0.98861,0.77747,0.63484,0.72013,0.31875,2.02381,1.34442,2.77387,0.005182,0.005182,0.005182
|
| 76 |
+
75,4391.53,0.48002,0.67578,0.98722,0.73078,0.60544,0.70032,0.33317,1.9566,1.42407,2.61657,0.005116,0.005116,0.005116
|
| 77 |
+
76,4449.04,0.47981,0.67515,0.98835,0.75032,0.65645,0.72611,0.3682,1.81879,1.4487,2.39826,0.00505,0.00505,0.00505
|
| 78 |
+
77,4505.94,0.47455,0.6647,0.98647,0.74521,0.71829,0.77595,0.39442,1.72451,1.14745,2.30623,0.004984,0.004984,0.004984
|
| 79 |
+
78,4563.39,0.47783,0.66247,0.98578,0.77176,0.69315,0.77059,0.40114,1.75247,1.10487,2.30894,0.004918,0.004918,0.004918
|
| 80 |
+
79,4620.64,0.4738,0.66639,0.98629,0.78547,0.69473,0.78312,0.40183,1.75482,1.17431,2.31292,0.004852,0.004852,0.004852
|
| 81 |
+
80,4676.7,0.46887,0.65443,0.98217,0.76744,0.68667,0.75359,0.32994,2.06127,1.17061,2.87271,0.004786,0.004786,0.004786
|
| 82 |
+
81,4734.31,0.46703,0.65081,0.98615,0.73353,0.68348,0.75015,0.377,1.81446,1.30339,2.38388,0.00472,0.00472,0.00472
|
| 83 |
+
82,4790.95,0.47359,0.65291,0.98522,0.74691,0.65659,0.72277,0.33646,2.02397,1.29308,2.81643,0.004654,0.004654,0.004654
|
| 84 |
+
83,4847.36,0.45894,0.63901,0.98109,0.75335,0.66451,0.73734,0.35198,1.97308,1.33124,2.71897,0.004588,0.004588,0.004588
|
| 85 |
+
84,4904.93,0.46591,0.63569,0.98461,0.74745,0.66798,0.75129,0.38449,1.78854,1.21193,2.42438,0.004522,0.004522,0.004522
|
| 86 |
+
85,4961.39,0.45755,0.62599,0.97968,0.71323,0.60658,0.67887,0.29603,2.19008,1.36329,3.14858,0.004456,0.004456,0.004456
|
| 87 |
+
86,5018.82,0.45167,0.62325,0.97767,0.72155,0.62312,0.68903,0.3185,2.07824,1.48998,2.88095,0.00439,0.00439,0.00439
|
| 88 |
+
87,5076.27,0.45553,0.61834,0.97916,0.73635,0.67482,0.72689,0.33682,1.94788,1.29261,2.76703,0.004324,0.004324,0.004324
|
| 89 |
+
88,5133.05,0.45053,0.60893,0.97792,0.72645,0.65773,0.7177,0.33333,1.98846,1.31899,2.81092,0.004258,0.004258,0.004258
|
| 90 |
+
89,5190.36,0.45145,0.62209,0.97611,0.73762,0.64156,0.70748,0.3029,2.14362,1.40043,3.15928,0.004192,0.004192,0.004192
|
| 91 |
+
90,5247.4,0.45562,0.62625,0.98123,0.78603,0.66862,0.75267,0.35574,1.93283,1.23508,2.74788,0.004126,0.004126,0.004126
|
| 92 |
+
91,5304.23,0.4545,0.616,0.97699,0.76269,0.64965,0.74175,0.35952,1.89681,1.30759,2.64299,0.00406,0.00406,0.00406
|
| 93 |
+
92,5361.5,0.44546,0.61411,0.97588,0.78692,0.69039,0.76276,0.3657,1.88919,1.20994,2.70807,0.003994,0.003994,0.003994
|
| 94 |
+
93,5418.26,0.45064,0.60583,0.97849,0.77384,0.65974,0.73692,0.35256,1.92164,1.41383,2.71533,0.003928,0.003928,0.003928
|
| 95 |
+
94,5474.96,0.44506,0.6095,0.97595,0.74281,0.6092,0.69878,0.31816,2.0135,1.66182,2.8402,0.003862,0.003862,0.003862
|
| 96 |
+
95,5532.7,0.44593,0.58381,0.97595,0.74088,0.64536,0.72025,0.34646,1.92113,1.46303,2.6752,0.003796,0.003796,0.003796
|
models/yolov11s_v1/results.png
ADDED
|
Git LFS Details
|
models/yolov11s_v1/train_batch0.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/train_batch1.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/train_batch2.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/val_batch0_labels.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/val_batch0_pred.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/val_batch1_labels.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/val_batch1_pred.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/val_batch2_labels.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v1/val_batch2_pred.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/BoxF1_curve.png
ADDED
|
Git LFS Details
|
models/yolov11s_v2/BoxPR_curve.png
ADDED
|
models/yolov11s_v2/BoxP_curve.png
ADDED
|
models/yolov11s_v2/BoxR_curve.png
ADDED
|
models/yolov11s_v2/args.yaml
ADDED
|
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
task: detect
|
| 2 |
+
mode: train
|
| 3 |
+
model: yolo11n.pt
|
| 4 |
+
data: config/datav2.yaml
|
| 5 |
+
epochs: 50
|
| 6 |
+
time: null
|
| 7 |
+
patience: 30
|
| 8 |
+
batch: 32
|
| 9 |
+
imgsz: 640
|
| 10 |
+
save: true
|
| 11 |
+
save_period: 50
|
| 12 |
+
cache: false
|
| 13 |
+
device: '0'
|
| 14 |
+
workers: 8
|
| 15 |
+
project: /content/nail-feature-detection/outputs/models
|
| 16 |
+
name: nail_v2_baseline2
|
| 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: 1.0
|
| 30 |
+
profile: false
|
| 31 |
+
freeze: null
|
| 32 |
+
multi_scale: false
|
| 33 |
+
compile: false
|
| 34 |
+
overlap_mask: true
|
| 35 |
+
mask_ratio: 4
|
| 36 |
+
dropout: 0.0
|
| 37 |
+
val: true
|
| 38 |
+
split: val
|
| 39 |
+
save_json: 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: 0.001
|
| 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: 10.0
|
| 90 |
+
translate: 0.2
|
| 91 |
+
scale: 0.9
|
| 92 |
+
shear: 0.0
|
| 93 |
+
perspective: 0.0
|
| 94 |
+
flipud: 0.3
|
| 95 |
+
fliplr: 0.5
|
| 96 |
+
bgr: 0.0
|
| 97 |
+
mosaic: 1.0
|
| 98 |
+
mixup: 0.3
|
| 99 |
+
cutmix: 0.0
|
| 100 |
+
copy_paste: 0.3
|
| 101 |
+
copy_paste_mode: flip
|
| 102 |
+
auto_augment: randaugment
|
| 103 |
+
erasing: 0.0
|
| 104 |
+
cfg: null
|
| 105 |
+
tracker: botsort.yaml
|
| 106 |
+
save_dir: /content/nail-feature-detection/outputs/models/nail_v2_baseline2
|
models/yolov11s_v2/confusion_matrix.png
ADDED
|
models/yolov11s_v2/confusion_matrix_normalized.png
ADDED
|
models/yolov11s_v2/labels.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/results.csv
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
1,35.187,1.50235,3.21873,1.23653,0.01218,0.98305,0.7207,0.3448,1.14707,3.10099,0.93631,0.00028,0.00028,0.00028
|
| 3 |
+
2,43.2351,1.35731,1.56248,1.0664,0.01223,0.98729,0.22064,0.10208,0.96384,3.06494,0.91013,0.000568516,0.000568516,0.000568516
|
| 4 |
+
3,52.5257,1.28309,1.34019,1.04612,0.01626,0.84534,0.30887,0.16519,1.30476,2.92781,1.05364,0.000845152,0.000845152,0.000845152
|
| 5 |
+
4,62.3011,1.29419,1.2193,1.05435,0.97245,0.14956,0.87159,0.58783,1.05807,2.47817,0.9728,0.00110991,0.00110991,0.00110991
|
| 6 |
+
5,71.8447,1.2427,1.15972,1.04494,0.97804,0.56609,0.90582,0.56955,1.21428,2.34522,1.04156,0.00136278,0.00136278,0.00136278
|
| 7 |
+
6,81.2451,1.21977,1.08113,1.03069,0.91448,0.88358,0.94774,0.61949,1.16815,1.56084,1.00589,0.00160378,0.00160378,0.00160378
|
| 8 |
+
7,90.5614,1.24701,1.05705,1.03206,0.69637,0.73305,0.71755,0.5105,1.01352,1.63913,1.00644,0.0017624,0.0017624,0.0017624
|
| 9 |
+
8,100.678,1.22516,1.03624,1.04181,0.87985,0.80677,0.8807,0.61163,1.06318,1.37738,0.98942,0.0017228,0.0017228,0.0017228
|
| 10 |
+
9,110.697,1.19974,0.9575,1.02402,0.9257,0.88347,0.94371,0.58695,1.25288,0.96017,1.08224,0.0016832,0.0016832,0.0016832
|
| 11 |
+
10,119.887,1.20013,0.91516,1.0156,0.88608,0.89831,0.93865,0.57813,1.28506,0.95755,1.06255,0.0016436,0.0016436,0.0016436
|
| 12 |
+
11,129.604,1.22368,0.94267,1.02309,0.95572,0.8689,0.93658,0.48037,1.64748,1.01631,1.25857,0.001604,0.001604,0.001604
|
| 13 |
+
12,139.741,1.16745,0.90123,1.02065,0.93484,0.91195,0.96249,0.65188,1.12409,0.88635,1.02642,0.0015644,0.0015644,0.0015644
|
| 14 |
+
13,149.317,1.13762,0.86225,1.00465,0.94846,0.93576,0.9743,0.60053,1.3238,0.85562,1.1222,0.0015248,0.0015248,0.0015248
|
| 15 |
+
14,158.925,1.12161,0.82613,0.99486,0.96283,0.93304,0.97688,0.73881,0.88032,0.63406,0.95514,0.0014852,0.0014852,0.0014852
|
| 16 |
+
15,168.428,1.10392,0.82845,1.00718,0.95318,0.92373,0.97624,0.75672,0.84124,0.76336,0.94399,0.0014456,0.0014456,0.0014456
|
| 17 |
+
16,178.42,1.11941,0.7993,0.9855,0.95903,0.94221,0.97808,0.68876,1.05347,0.69236,0.99428,0.001406,0.001406,0.001406
|
| 18 |
+
17,187.966,1.09467,0.77467,1.00524,0.96805,0.96285,0.98866,0.70158,1.05315,0.5816,0.97632,0.0013664,0.0013664,0.0013664
|
| 19 |
+
18,197.381,1.08677,0.76894,0.99152,0.97204,0.93432,0.98135,0.74812,0.88585,0.58525,0.9334,0.0013268,0.0013268,0.0013268
|
| 20 |
+
19,206.664,1.08856,0.72619,0.97689,0.96236,0.97881,0.9878,0.65789,1.16462,0.63684,1.01907,0.0012872,0.0012872,0.0012872
|
| 21 |
+
20,216.958,1.08682,0.74985,0.98469,0.98039,0.95324,0.97914,0.73569,0.91154,0.60921,0.93838,0.0012476,0.0012476,0.0012476
|
| 22 |
+
21,226.652,1.05437,0.73316,0.96546,0.97835,0.95752,0.98881,0.72737,0.97369,0.56719,0.95262,0.001208,0.001208,0.001208
|
| 23 |
+
22,235.843,1.04336,0.72045,0.97133,0.98263,0.95908,0.98908,0.68919,1.11159,0.56608,0.99773,0.0011684,0.0011684,0.0011684
|
| 24 |
+
23,246.008,1.03977,0.68939,0.96188,0.95864,0.94492,0.97714,0.77081,0.78777,0.56575,0.91332,0.0011288,0.0011288,0.0011288
|
| 25 |
+
24,256.42,1.03927,0.70264,0.97747,0.98478,0.9597,0.9891,0.78959,0.79216,0.5115,0.91071,0.0010892,0.0010892,0.0010892
|
| 26 |
+
25,265.937,1.04605,0.69151,0.96751,0.96917,0.97034,0.9845,0.78722,0.77331,0.54547,0.90928,0.0010496,0.0010496,0.0010496
|
| 27 |
+
26,275.124,1.04774,0.69954,0.97949,0.99128,0.96311,0.99039,0.80494,0.74043,0.4729,0.88971,0.00101,0.00101,0.00101
|
| 28 |
+
27,284.604,1.00833,0.66521,0.94893,0.98629,0.96186,0.99082,0.80626,0.73477,0.46854,0.89204,0.0009704,0.0009704,0.0009704
|
| 29 |
+
28,295.039,1.01066,0.65844,0.96597,0.99211,0.97246,0.99266,0.80526,0.73105,0.4721,0.89292,0.0009308,0.0009308,0.0009308
|
| 30 |
+
29,304.473,0.98627,0.63348,0.94619,0.99126,0.96106,0.99289,0.81052,0.71656,0.48057,0.88507,0.0008912,0.0008912,0.0008912
|
| 31 |
+
30,314.765,0.97666,0.62155,0.9504,0.99137,0.97295,0.99375,0.81045,0.75366,0.44492,0.89282,0.0008516,0.0008516,0.0008516
|
| 32 |
+
31,323.273,0.99278,0.60942,0.94499,0.98292,0.97537,0.99315,0.80498,0.75967,0.44044,0.89089,0.000812,0.000812,0.000812
|
| 33 |
+
32,333.141,0.98924,0.62354,0.94755,0.99077,0.95975,0.99252,0.81559,0.70749,0.43364,0.88217,0.0007724,0.0007724,0.0007724
|
| 34 |
+
33,342.431,1.0095,0.64344,0.96181,0.98499,0.97289,0.99367,0.82304,0.70103,0.45319,0.88318,0.0007328,0.0007328,0.0007328
|
| 35 |
+
34,351.218,0.96515,0.5962,0.92654,0.97974,0.98517,0.99415,0.8166,0.71895,0.44435,0.88234,0.0006932,0.0006932,0.0006932
|
| 36 |
+
35,361.548,1.02379,0.63386,0.95667,0.97896,0.98569,0.99403,0.80142,0.74949,0.42698,0.88474,0.0006536,0.0006536,0.0006536
|
| 37 |
+
36,371.159,0.96442,0.58665,0.92248,0.98858,0.98517,0.99444,0.80417,0.76377,0.41648,0.88943,0.000614,0.000614,0.000614
|
| 38 |
+
37,381.05,0.98188,0.5964,0.94561,0.98709,0.98941,0.99468,0.7785,0.84777,0.44234,0.91516,0.0005744,0.0005744,0.0005744
|
| 39 |
+
38,390.236,0.94007,0.56649,0.9314,0.98313,0.98777,0.99445,0.82543,0.69721,0.40548,0.87646,0.0005348,0.0005348,0.0005348
|
| 40 |
+
39,399.57,0.91185,0.55333,0.92564,0.98522,0.98855,0.99457,0.82178,0.71876,0.41278,0.87987,0.0004952,0.0004952,0.0004952
|
| 41 |
+
40,409.931,0.94411,0.55812,0.93852,0.99313,0.97458,0.98916,0.83694,0.66386,0.412,0.86789,0.0004556,0.0004556,0.0004556
|
| 42 |
+
41,422.461,0.81176,0.50445,0.91458,0.99361,0.98768,0.9945,0.84236,0.65059,0.42744,0.86596,0.000416,0.000416,0.000416
|
| 43 |
+
42,430.837,0.78104,0.46892,0.90478,0.99421,0.98517,0.99477,0.82794,0.68931,0.39532,0.87168,0.0003764,0.0003764,0.0003764
|
| 44 |
+
43,438.411,0.78863,0.45841,0.90789,0.98739,0.99506,0.99485,0.82699,0.69926,0.39849,0.87607,0.0003368,0.0003368,0.0003368
|
| 45 |
+
44,446.442,0.75694,0.45142,0.89282,0.98724,0.99364,0.99487,0.83014,0.68694,0.39024,0.87142,0.0002972,0.0002972,0.0002972
|
| 46 |
+
45,454.261,0.76655,0.43425,0.90055,0.99904,0.98517,0.99487,0.82514,0.70304,0.38627,0.87511,0.0002576,0.0002576,0.0002576
|
| 47 |
+
46,462.336,0.76844,0.43307,0.89298,0.99786,0.98605,0.99487,0.84598,0.64096,0.37719,0.86109,0.000218,0.000218,0.000218
|
| 48 |
+
47,470.557,0.7645,0.42222,0.90012,0.99786,0.98811,0.99491,0.85243,0.6304,0.37493,0.85969,0.0001784,0.0001784,0.0001784
|
| 49 |
+
48,478.39,0.74821,0.4223,0.88859,0.99786,0.99021,0.99498,0.85066,0.6335,0.36894,0.85863,0.0001388,0.0001388,0.0001388
|
| 50 |
+
49,486.211,0.72957,0.4181,0.88712,0.99701,0.98941,0.99492,0.84385,0.64736,0.36736,0.86124,9.92e-05,9.92e-05,9.92e-05
|
| 51 |
+
50,494.916,0.74344,0.41902,0.89406,0.99696,0.98941,0.99489,0.84792,0.6332,0.36597,0.85951,5.96e-05,5.96e-05,5.96e-05
|
models/yolov11s_v2/results.png
ADDED
|
Git LFS Details
|
models/yolov11s_v2/train_batch0.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/train_batch1.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/train_batch2.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/train_batch600.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/train_batch601.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/train_batch602.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/val_batch0_labels.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/val_batch0_pred.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/val_batch1_labels.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/val_batch1_pred.jpg
ADDED
|
Git LFS Details
|
models/yolov11s_v2/weights/best.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:27d0bd96d9c825707e9ff591c0f04f307751f6880c90d976ded7792acc288fb0
|
| 3 |
+
size 5471450
|
models/yolov11s_v2/weights/epoch0.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:66b7c477a1c1f83cda45eb183100bfbae1662650094b720b299674dcedcf93b2
|
| 3 |
+
size 16076321
|
models/yolov11s_v2/weights/last.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:839f9178eaf828f227ca12032df0b950b8e0ac13bb95e05d2b1ba08743dc8d12
|
| 3 |
+
size 5471450
|