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Browse files- BoxF1_curve.png +3 -0
- BoxPR_curve.png +3 -0
- BoxP_curve.png +3 -0
- BoxR_curve.png +3 -0
- args.yaml +106 -0
- confusion_matrix.png +3 -0
- confusion_matrix_normalized.png +3 -0
- labels.jpg +3 -0
- results.csv +81 -0
- results.png +3 -0
- train_batch0.jpg +3 -0
- train_batch1.jpg +3 -0
- train_batch1960.jpg +3 -0
- train_batch1961.jpg +3 -0
- train_batch1962.jpg +3 -0
- train_batch2.jpg +3 -0
- val_batch0_labels.jpg +3 -0
- val_batch0_pred.jpg +3 -0
- val_batch1_labels.jpg +3 -0
- val_batch1_pred.jpg +3 -0
- val_batch2_labels.jpg +3 -0
- val_batch2_pred.jpg +3 -0
- weights/best.pt +3 -0
- weights/last.pt +3 -0
BoxF1_curve.png
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Git LFS Details
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BoxPR_curve.png
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Git LFS Details
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BoxP_curve.png
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Git LFS Details
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BoxR_curve.png
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Git LFS Details
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args.yaml
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| 1 |
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task: detect
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| 2 |
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mode: train
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| 3 |
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model: yolo11l.pt
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| 4 |
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data: data.yaml
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| 5 |
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epochs: 80
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| 6 |
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time: null
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| 7 |
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patience: 100
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| 8 |
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batch: 64
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imgsz: 640
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save: true
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save_period: -1
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workers: 8
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project: null
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name: train
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exist_ok: false
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pretrained: true
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optimizer: auto
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verbose: true
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seed: 0
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deterministic: true
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single_cls: false
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rect: false
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cos_lr: false
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close_mosaic: 10
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resume: false
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freeze: null
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multi_scale: false
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compile: false
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overlap_mask: true
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mask_ratio: 4
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| 36 |
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dropout: 0.0
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| 37 |
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val: true
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split: val
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save_json: false
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| 40 |
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conf: null
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iou: 0.7
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max_det: 300
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half: false
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dnn: false
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plots: true
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vid_stride: 1
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stream_buffer: false
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visualize: false
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line_width: null
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format: torchscript
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| 70 |
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opset: null
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| 71 |
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workspace: null
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| 72 |
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nms: false
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| 73 |
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lr0: 0.01
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lrf: 0.01
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| 75 |
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momentum: 0.937
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| 76 |
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weight_decay: 0.0005
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| 77 |
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warmup_epochs: 3.0
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| 78 |
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warmup_momentum: 0.8
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| 79 |
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warmup_bias_lr: 0.1
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| 80 |
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box: 7.5
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| 81 |
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cls: 0.5
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| 82 |
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dfl: 1.5
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| 83 |
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pose: 12.0
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| 84 |
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kobj: 1.0
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| 85 |
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nbs: 64
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| 86 |
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hsv_h: 0.015
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hsv_s: 0.7
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| 88 |
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hsv_v: 0.4
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| 89 |
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degrees: 0.0
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translate: 0.1
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scale: 0.5
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| 92 |
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| 93 |
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bgr: 0.0
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| 97 |
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mosaic: 1.0
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| 98 |
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mixup: 0.0
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cutmix: 0.0
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copy_paste: 0.0
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| 101 |
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copy_paste_mode: flip
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| 102 |
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auto_augment: randaugment
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| 103 |
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erasing: 0.4
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| 104 |
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cfg: null
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| 105 |
+
tracker: botsort.yaml
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| 106 |
+
save_dir: /root/runs/detect/train
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confusion_matrix.png
ADDED
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Git LFS Details
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confusion_matrix_normalized.png
ADDED
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Git LFS Details
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labels.jpg
ADDED
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Git LFS Details
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results.csv
ADDED
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| 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
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| 2 |
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| 3 |
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| 4 |
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| 7 |
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| 48 |
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47,530.013,0.7264,0.4621,0.97858,0.89635,0.89024,0.94084,0.72843,0.83524,0.52396,1.10515,0.0008615,0.0008615,0.0008615
|
| 49 |
+
48,540.972,0.72005,0.45829,0.97505,0.90023,0.88873,0.93702,0.73662,0.8285,0.52149,1.08588,0.00083675,0.00083675,0.00083675
|
| 50 |
+
49,552.079,0.70914,0.44631,0.96811,0.90917,0.90244,0.93935,0.73881,0.83048,0.5044,1.09307,0.000812,0.000812,0.000812
|
| 51 |
+
50,563.161,0.7041,0.44591,0.96596,0.91468,0.90901,0.9451,0.74432,0.81669,0.51003,1.07216,0.00078725,0.00078725,0.00078725
|
| 52 |
+
51,574.258,0.70511,0.44541,0.96232,0.91097,0.90226,0.9489,0.74796,0.79634,0.5061,1.07283,0.0007625,0.0007625,0.0007625
|
| 53 |
+
52,585.277,0.70543,0.43708,0.95832,0.90861,0.88086,0.93939,0.74763,0.80199,0.51166,1.07223,0.00073775,0.00073775,0.00073775
|
| 54 |
+
53,596.241,0.69929,0.4348,0.95603,0.91191,0.89587,0.94083,0.74824,0.80137,0.49922,1.07743,0.000713,0.000713,0.000713
|
| 55 |
+
54,607.923,0.68587,0.42506,0.96151,0.91153,0.88649,0.94582,0.74281,0.80767,0.51175,1.07145,0.00068825,0.00068825,0.00068825
|
| 56 |
+
55,618.917,0.68746,0.42553,0.9579,0.90707,0.89737,0.93628,0.74185,0.80792,0.50054,1.07862,0.0006635,0.0006635,0.0006635
|
| 57 |
+
56,629.921,0.68227,0.42092,0.95065,0.90898,0.90432,0.94726,0.75526,0.80187,0.48354,1.05785,0.00063875,0.00063875,0.00063875
|
| 58 |
+
57,641.025,0.67948,0.42182,0.95092,0.8981,0.90942,0.94294,0.74928,0.8076,0.49061,1.08927,0.000614,0.000614,0.000614
|
| 59 |
+
58,652.017,0.67172,0.4155,0.94564,0.90965,0.89722,0.94599,0.75208,0.787,0.50545,1.05844,0.00058925,0.00058925,0.00058925
|
| 60 |
+
59,663.008,0.66466,0.40919,0.94766,0.91755,0.90819,0.95248,0.7552,0.79547,0.48095,1.06788,0.0005645,0.0005645,0.0005645
|
| 61 |
+
60,673.974,0.67471,0.41267,0.94741,0.90542,0.91276,0.95197,0.75452,0.79777,0.48429,1.06102,0.00053975,0.00053975,0.00053975
|
| 62 |
+
61,684.979,0.66143,0.40477,0.94602,0.91239,0.9015,0.9499,0.75513,0.81159,0.48336,1.07696,0.000515,0.000515,0.000515
|
| 63 |
+
62,695.974,0.65776,0.3954,0.94581,0.90577,0.90525,0.94787,0.7589,0.79624,0.49256,1.07539,0.00049025,0.00049025,0.00049025
|
| 64 |
+
63,707.036,0.65972,0.39718,0.93822,0.90287,0.91562,0.94982,0.75702,0.79734,0.47987,1.06961,0.0004655,0.0004655,0.0004655
|
| 65 |
+
64,718.058,0.64504,0.3893,0.93171,0.91141,0.90525,0.94924,0.75825,0.79832,0.48145,1.0649,0.00044075,0.00044075,0.00044075
|
| 66 |
+
65,729.057,0.6446,0.39012,0.93374,0.92219,0.90994,0.95223,0.76822,0.78639,0.46683,1.06475,0.000416,0.000416,0.000416
|
| 67 |
+
66,740.59,0.64899,0.38657,0.93344,0.92299,0.91088,0.95314,0.76131,0.78745,0.46243,1.06455,0.00039125,0.00039125,0.00039125
|
| 68 |
+
67,751.663,0.64366,0.38734,0.93322,0.9197,0.90807,0.94907,0.75942,0.79889,0.47792,1.07326,0.0003665,0.0003665,0.0003665
|
| 69 |
+
68,762.609,0.64099,0.38404,0.93463,0.92112,0.90924,0.94806,0.76339,0.78718,0.46334,1.0769,0.00034175,0.00034175,0.00034175
|
| 70 |
+
69,773.612,0.63645,0.37705,0.93094,0.91679,0.90948,0.94617,0.76345,0.79639,0.48316,1.06634,0.000317,0.000317,0.000317
|
| 71 |
+
70,784.566,0.62662,0.37189,0.92642,0.92031,0.91557,0.95499,0.76359,0.78485,0.44291,1.06788,0.00029225,0.00029225,0.00029225
|
| 72 |
+
71,798.87,0.62753,0.37184,0.92309,0.91326,0.92026,0.9554,0.76378,0.78141,0.45023,1.05653,0.0002675,0.0002675,0.0002675
|
| 73 |
+
72,809.88,0.62174,0.35406,0.91509,0.92976,0.90994,0.95759,0.77138,0.76563,0.44671,1.051,0.00024275,0.00024275,0.00024275
|
| 74 |
+
73,820.915,0.6055,0.34207,0.90726,0.91709,0.92351,0.95696,0.77104,0.76728,0.44765,1.05178,0.000218,0.000218,0.000218
|
| 75 |
+
74,831.81,0.60942,0.33707,0.90932,0.93255,0.90794,0.95433,0.76618,0.77761,0.4447,1.06348,0.00019325,0.00019325,0.00019325
|
| 76 |
+
75,842.77,0.60501,0.34017,0.90507,0.9256,0.91182,0.95303,0.76834,0.7697,0.44255,1.05979,0.0001685,0.0001685,0.0001685
|
| 77 |
+
76,853.673,0.59582,0.33413,0.90154,0.92167,0.91618,0.95276,0.76686,0.77424,0.44267,1.06331,0.00014375,0.00014375,0.00014375
|
| 78 |
+
77,864.539,0.5865,0.33143,0.90182,0.9254,0.92026,0.95334,0.77109,0.77255,0.44088,1.06103,0.000119,0.000119,0.000119
|
| 79 |
+
78,875.45,0.58575,0.32656,0.89939,0.92506,0.91477,0.95321,0.77156,0.77384,0.43707,1.06562,9.425e-05,9.425e-05,9.425e-05
|
| 80 |
+
79,886.439,0.57887,0.32121,0.89615,0.9228,0.91945,0.95545,0.77488,0.76796,0.43473,1.06048,6.95e-05,6.95e-05,6.95e-05
|
| 81 |
+
80,897.457,0.57928,0.32177,0.90242,0.92187,0.91745,0.95516,0.7727,0.76642,0.43216,1.06161,4.475e-05,4.475e-05,4.475e-05
|
results.png
ADDED
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Git LFS Details
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train_batch0.jpg
ADDED
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Git LFS Details
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ADDED
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Git LFS Details
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ADDED
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Git LFS Details
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ADDED
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Git LFS Details
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Git LFS Details
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Git LFS Details
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ADDED
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Git LFS Details
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ADDED
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Git LFS Details
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ADDED
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Git LFS Details
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val_batch1_pred.jpg
ADDED
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Git LFS Details
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val_batch2_labels.jpg
ADDED
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Git LFS Details
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val_batch2_pred.jpg
ADDED
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Git LFS Details
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ADDED
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