Ashegh-Sad-Warrior
commited on
Commit
•
cd839aa
1
Parent(s):
aa7a51c
Upload folder using huggingface_hub
Browse files- F1_curve.png +0 -0
- PR_curve.png +0 -0
- P_curve.png +0 -0
- R_curve.png +0 -0
- args.yaml +107 -0
- confusion_matrix.png +0 -0
- confusion_matrix_normalized.png +0 -0
- events.out.tfevents.1730103318.23b36f4d79a7.318.0 +3 -0
- labels.jpg +0 -0
- labels_correlogram.jpg +0 -0
- results.csv +151 -0
- results.png +0 -0
- train_batch0.jpg +0 -0
- train_batch1.jpg +0 -0
- train_batch2.jpg +0 -0
- train_batch6300.jpg +0 -0
- train_batch6301.jpg +0 -0
- train_batch6302.jpg +0 -0
- val_batch0_labels.jpg +0 -0
- val_batch0_pred.jpg +0 -0
- val_batch1_labels.jpg +0 -0
- val_batch1_pred.jpg +0 -0
- val_batch2_pred.jpg +0 -0
- weights/best.pt +3 -0
- weights/last.pt +3 -0
F1_curve.png
ADDED
PR_curve.png
ADDED
P_curve.png
ADDED
R_curve.png
ADDED
args.yaml
ADDED
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task: obb
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mode: train
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model: /content/yolo11n-obb.pt
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data: /opt/conda/lib/python3.10/site-packages/ultralytics/cfg/datasets/DOTAv1.5.yaml
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epochs: 150
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time: null
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patience: 100
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batch: 32
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imgsz: 640
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save: true
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save_period: -1
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cache: false
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device: 0,1
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workers: 4
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project: runs/train
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name: yolo_aerial_mine_detection
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exist_ok: false
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pretrained: true
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optimizer: Adam
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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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amp: true
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fraction: 1.0
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profile: false
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freeze: null
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multi_scale: false
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overlap_mask: true
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mask_ratio: 4
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dropout: 0.0
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val: true
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split: val
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save_json: false
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save_hybrid: false
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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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source: null
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vid_stride: 1
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stream_buffer: false
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visualize: false
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augment: false
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agnostic_nms: false
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classes: null
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retina_masks: false
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embed: null
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show: false
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save_frames: false
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save_txt: false
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save_conf: false
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save_crop: false
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show_labels: true
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show_conf: true
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show_boxes: true
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line_width: null
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format: torchscript
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keras: false
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optimize: false
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int8: false
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dynamic: false
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simplify: true
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opset: null
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workspace: 4
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nms: false
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lr0: 0.001
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lrf: 0.01
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momentum: 0.937
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weight_decay: 0.0005
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warmup_epochs: 3.0
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warmup_momentum: 0.8
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warmup_bias_lr: 0.1
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box: 7.5
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cls: 0.5
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dfl: 1.5
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pose: 12.0
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kobj: 1.0
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label_smoothing: 0.0
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nbs: 64
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hsv_h: 0.015
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hsv_s: 0.7
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hsv_v: 0.4
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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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shear: 0.0
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perspective: 0.0
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flipud: 0.0
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fliplr: 0.5
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bgr: 0.0
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mosaic: 1.0
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mixup: 0.0
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copy_paste: 0.0
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copy_paste_mode: flip
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auto_augment: randaugment
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erasing: 0.4
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crop_fraction: 1.0
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cfg: null
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tracker: botsort.yaml
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save_dir: runs/train/yolo_aerial_mine_detection
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confusion_matrix.png
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confusion_matrix_normalized.png
ADDED
events.out.tfevents.1730103318.23b36f4d79a7.318.0
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:31f2e03f9d3b8bfb120cceaa97e064aac4b4e589c33d728b551289f08d5689ba
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size 369035
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labels.jpg
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labels_correlogram.jpg
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results.csv
ADDED
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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
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63 |
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65 |
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66 |
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67 |
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68 |
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69 |
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70 |
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71 |
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72 |
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71,5936.39,1.06961,0.71855,1.10478,0.76364,0.38101,0.43237,0.30209,1.13677,0.85145,1.14604,0.000538,0.000538,0.000538
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73 |
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72,6019.15,1.0852,0.72518,1.10978,0.71561,0.38069,0.42939,0.30406,1.13799,0.83888,1.14133,0.0005314,0.0005314,0.0005314
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74 |
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73,6099.59,1.102,0.73512,1.10327,0.73847,0.38399,0.43584,0.30556,1.1383,0.83737,1.15215,0.0005248,0.0005248,0.0005248
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75 |
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74,6185.15,1.05043,0.71406,1.10476,0.73121,0.38146,0.43376,0.3071,1.12548,0.84546,1.14371,0.0005182,0.0005182,0.0005182
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76 |
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75,6266.7,1.07152,0.73165,1.11729,0.75578,0.36929,0.42826,0.3034,1.12758,0.85673,1.14828,0.0005116,0.0005116,0.0005116
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77 |
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76,6347.25,1.06252,0.70765,1.10468,0.74088,0.38373,0.43012,0.30349,1.1349,0.84523,1.1515,0.000505,0.000505,0.000505
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78 |
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77,6431.78,1.07161,0.76029,1.11449,0.69353,0.38329,0.42772,0.30036,1.13545,0.84518,1.14447,0.0004984,0.0004984,0.0004984
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79 |
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78,6513.56,1.04864,0.71184,1.0925,0.71075,0.3885,0.43125,0.30542,1.12917,0.83927,1.14665,0.0004918,0.0004918,0.0004918
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80 |
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79,6592.97,1.07521,0.71897,1.10092,0.76695,0.3717,0.43004,0.30437,1.12206,0.83219,1.14629,0.0004852,0.0004852,0.0004852
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81 |
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80,6675.22,1.00486,0.671,1.11245,0.71197,0.39275,0.43,0.30144,1.12832,0.82892,1.14112,0.0004786,0.0004786,0.0004786
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82 |
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81,6759.83,1.04467,0.70777,1.12999,0.73791,0.37869,0.43234,0.30415,1.13841,0.84547,1.15001,0.000472,0.000472,0.000472
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83 |
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82,6843.09,1.06841,0.74704,1.08737,0.75866,0.37958,0.43605,0.30788,1.11419,0.82849,1.14886,0.0004654,0.0004654,0.0004654
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84 |
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85 |
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86 |
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85,7085.11,1.05793,0.70983,1.08796,0.71795,0.38843,0.4305,0.30489,1.11358,0.82903,1.14524,0.0004456,0.0004456,0.0004456
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87 |
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86,7165.72,1.07672,0.7305,1.08867,0.71831,0.38119,0.43193,0.30654,1.12604,0.83125,1.15978,0.000439,0.000439,0.000439
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88 |
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87,7247.92,1.10147,0.72873,1.09481,0.75363,0.37757,0.43118,0.30437,1.12881,0.83818,1.15366,0.0004324,0.0004324,0.0004324
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89 |
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88,7328.77,1.0509,0.70556,1.09782,0.7655,0.37909,0.43511,0.3072,1.10897,0.83861,1.15771,0.0004258,0.0004258,0.0004258
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90 |
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89,7412.96,1.03677,0.69676,1.10089,0.65515,0.39624,0.43219,0.30549,1.11631,0.83234,1.14652,0.0004192,0.0004192,0.0004192
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91 |
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90,7490.89,0.99972,0.71165,1.11054,0.74242,0.38516,0.43706,0.30977,1.10002,0.81966,1.13927,0.0004126,0.0004126,0.0004126
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92 |
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91,7573.55,1.09595,0.78275,1.0694,0.73517,0.38854,0.43517,0.31003,1.11881,0.83526,1.14145,0.000406,0.000406,0.000406
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93 |
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92,7655.98,1.03442,0.70079,1.10423,0.74639,0.38482,0.43587,0.30982,1.10682,0.82734,1.1632,0.0003994,0.0003994,0.0003994
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94 |
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93,7733.48,1.02465,0.70666,1.10187,0.73014,0.39489,0.44119,0.31309,1.10604,0.81715,1.14896,0.0003928,0.0003928,0.0003928
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95 |
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94,7815.03,1.11274,0.74109,1.0889,0.7401,0.39352,0.43419,0.3086,1.11341,0.82139,1.14369,0.0003862,0.0003862,0.0003862
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96 |
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95,7896.4,1.03852,0.70042,1.10518,0.7637,0.3815,0.43863,0.30845,1.10611,0.8198,1.14495,0.0003796,0.0003796,0.0003796
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97 |
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96,7976.15,1.03433,0.68277,1.11043,0.6789,0.39734,0.44342,0.31398,1.09923,0.82019,1.13856,0.000373,0.000373,0.000373
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98 |
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97,8056.93,1.01221,0.67069,1.0727,0.67242,0.40334,0.4425,0.31005,1.1147,0.82271,1.14545,0.0003664,0.0003664,0.0003664
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99 |
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98,8137.49,1.05212,0.70955,1.08822,0.66741,0.40217,0.43827,0.30724,1.11894,0.82307,1.15134,0.0003598,0.0003598,0.0003598
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100 |
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99,8216.26,1.0657,0.70993,1.09551,0.67913,0.38738,0.43805,0.3097,1.11256,0.82416,1.14783,0.0003532,0.0003532,0.0003532
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101 |
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100,8299.69,1.0188,0.674,1.08138,0.6784,0.38041,0.43077,0.30947,1.09017,0.81189,1.15077,0.0003466,0.0003466,0.0003466
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102 |
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101,8380.9,1.06433,0.69626,1.06839,0.69021,0.39246,0.43799,0.31306,1.09938,0.81378,1.14107,0.00034,0.00034,0.00034
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103 |
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102,8463.11,1.02602,0.69113,1.09692,0.68367,0.39116,0.43534,0.31135,1.09857,0.81927,1.139,0.0003334,0.0003334,0.0003334
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104 |
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103,8545.76,1.04034,0.69632,1.09823,0.70446,0.38814,0.43519,0.30895,1.10318,0.81651,1.15114,0.0003268,0.0003268,0.0003268
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105 |
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104,8626.65,1.00405,0.66033,1.07731,0.67415,0.40154,0.43727,0.30901,1.1049,0.81825,1.14637,0.0003202,0.0003202,0.0003202
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106 |
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105,8708.91,1.04887,0.70006,1.10391,0.66173,0.39521,0.4363,0.3101,1.1009,0.80622,1.14468,0.0003136,0.0003136,0.0003136
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107 |
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106,8791.57,1.02598,0.69018,1.08584,0.7097,0.39534,0.44573,0.31467,1.10168,0.80647,1.14528,0.000307,0.000307,0.000307
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108 |
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107,8871.54,1.03076,0.6809,1.11114,0.71536,0.39461,0.44432,0.31704,1.09091,0.80786,1.14702,0.0003004,0.0003004,0.0003004
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109 |
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108,8954.58,0.98962,0.6645,1.09482,0.69055,0.3962,0.43825,0.31208,1.0927,0.80759,1.14452,0.0002938,0.0002938,0.0002938
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110 |
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109,9037.46,1.06629,0.70006,1.06332,0.70063,0.38756,0.43728,0.31214,1.09645,0.80634,1.13841,0.0002872,0.0002872,0.0002872
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111 |
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110,9120.42,1.02581,0.70416,1.082,0.73476,0.39215,0.44416,0.31146,1.10169,0.80454,1.13934,0.0002806,0.0002806,0.0002806
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112 |
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111,9202.56,1.02796,0.6766,1.0768,0.67118,0.39993,0.44152,0.31375,1.09565,0.8055,1.13701,0.000274,0.000274,0.000274
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113 |
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112,9283.67,1.02794,0.679,1.07917,0.62723,0.41197,0.44587,0.31518,1.10531,0.80589,1.13513,0.0002674,0.0002674,0.0002674
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114 |
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113,9367.9,1.03218,0.74394,1.1003,0.69881,0.40105,0.44297,0.31195,1.09773,0.81271,1.14392,0.0002608,0.0002608,0.0002608
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115 |
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114,9449.55,1.01254,0.67558,1.06863,0.71358,0.38592,0.4422,0.31265,1.10496,0.81201,1.14298,0.0002542,0.0002542,0.0002542
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116 |
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115,9530.34,1.02836,0.70655,1.08006,0.68063,0.39713,0.44278,0.31711,1.09452,0.80184,1.13637,0.0002476,0.0002476,0.0002476
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117 |
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116,9610.58,1.08983,0.74387,1.06514,0.69948,0.39427,0.44049,0.31433,1.09721,0.80933,1.15171,0.000241,0.000241,0.000241
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118 |
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117,9692.81,0.99348,0.66184,1.1042,0.70338,0.39964,0.44274,0.31677,1.09284,0.80138,1.14421,0.0002344,0.0002344,0.0002344
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119 |
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118,9777.59,1.02682,0.66598,1.06144,0.68388,0.40116,0.44273,0.31472,1.09109,0.81,1.13727,0.0002278,0.0002278,0.0002278
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120 |
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119,9859.61,0.98183,0.6596,1.08438,0.73398,0.39812,0.44377,0.31705,1.0906,0.80247,1.14266,0.0002212,0.0002212,0.0002212
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121 |
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120,9940.7,1.06537,0.69371,1.07147,0.70004,0.39808,0.43987,0.31421,1.09166,0.80522,1.13802,0.0002146,0.0002146,0.0002146
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122 |
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121,10021.6,1.04035,0.6722,1.08407,0.6502,0.41466,0.44366,0.31561,1.09549,0.80051,1.14193,0.000208,0.000208,0.000208
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123 |
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122,10104.1,0.9985,0.65985,1.09408,0.74193,0.38685,0.43942,0.31318,1.09395,0.80522,1.13933,0.0002014,0.0002014,0.0002014
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124 |
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123,10184.1,1.01081,0.66956,1.09392,0.65838,0.4073,0.4405,0.31559,1.09036,0.79995,1.13943,0.0001948,0.0001948,0.0001948
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125 |
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124,10261.6,0.97432,0.6483,1.07682,0.67972,0.40009,0.44018,0.31429,1.0921,0.80543,1.14912,0.0001882,0.0001882,0.0001882
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126 |
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125,10345.3,1.00926,0.67629,1.09083,0.6978,0.38749,0.43792,0.31392,1.09326,0.80221,1.14016,0.0001816,0.0001816,0.0001816
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127 |
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126,10423.9,1.0127,0.66564,1.06688,0.6619,0.39574,0.43703,0.31267,1.09485,0.80006,1.13888,0.000175,0.000175,0.000175
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128 |
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127,10505.2,0.98496,0.65383,1.08947,0.69772,0.40208,0.44351,0.31691,1.08544,0.79707,1.14175,0.0001684,0.0001684,0.0001684
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129 |
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128,10584,1.03801,0.67381,1.08295,0.70808,0.39444,0.4454,0.31668,1.0883,0.79617,1.1394,0.0001618,0.0001618,0.0001618
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130 |
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129,10663.7,0.99344,0.65424,1.09257,0.71517,0.39581,0.44354,0.31558,1.09202,0.79676,1.14043,0.0001552,0.0001552,0.0001552
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131 |
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130,10745,1.0282,0.6745,1.07011,0.69368,0.39228,0.44247,0.31633,1.08594,0.80043,1.14666,0.0001486,0.0001486,0.0001486
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132 |
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131,10828.5,1.02746,0.6761,1.08623,0.65084,0.40238,0.44165,0.31426,1.08907,0.80282,1.1332,0.000142,0.000142,0.000142
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133 |
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132,10912.2,0.99378,0.65992,1.07901,0.69504,0.39525,0.43858,0.31297,1.0927,0.79891,1.14231,0.0001354,0.0001354,0.0001354
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134 |
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133,10996.3,1.00061,0.64646,1.07685,0.68581,0.40056,0.44117,0.31433,1.0876,0.79414,1.14233,0.0001288,0.0001288,0.0001288
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135 |
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134,11076.4,0.98451,0.65075,1.07777,0.68531,0.39809,0.44309,0.31636,1.0843,0.79516,1.13825,0.0001222,0.0001222,0.0001222
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136 |
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135,11157.7,0.99102,0.66052,1.07959,0.68461,0.40651,0.4458,0.31831,1.08528,0.79248,1.13792,0.0001156,0.0001156,0.0001156
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137 |
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136,11237.7,0.98442,0.64958,1.07232,0.65097,0.4039,0.44295,0.3175,1.08397,0.79878,1.14381,0.000109,0.000109,0.000109
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138 |
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137,11322.3,1.01265,0.67447,1.08246,0.67464,0.40498,0.44364,0.31777,1.08326,0.79531,1.1363,0.0001024,0.0001024,0.0001024
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139 |
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138,11402.6,0.96679,0.64047,1.06742,0.6812,0.39886,0.44446,0.31898,1.07942,0.79714,1.13894,9.58e-05,9.58e-05,9.58e-05
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140 |
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139,11483.3,1.01217,0.65571,1.07221,0.68479,0.40245,0.44285,0.31616,1.08724,0.80002,1.13622,8.92e-05,8.92e-05,8.92e-05
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141 |
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140,11565.1,1.00446,0.69329,1.07216,0.67943,0.40509,0.44263,0.31607,1.08489,0.79147,1.13533,8.26e-05,8.26e-05,8.26e-05
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142 |
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141,11652.5,1.00015,0.65535,1.09961,0.67284,0.39312,0.43573,0.31378,1.08423,0.79768,1.13544,7.6e-05,7.6e-05,7.6e-05
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143 |
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142,11717.2,0.97297,0.6381,1.09128,0.68084,0.38514,0.43095,0.30974,1.09119,0.80331,1.14227,6.94e-05,6.94e-05,6.94e-05
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144 |
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143,11776.9,0.99624,0.65308,1.07228,0.68068,0.38843,0.43373,0.30998,1.09735,0.80005,1.14238,6.28e-05,6.28e-05,6.28e-05
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145 |
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144,11835.9,0.98113,0.64012,1.08948,0.68025,0.39017,0.43471,0.31394,1.08572,0.80124,1.14299,5.62e-05,5.62e-05,5.62e-05
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146 |
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145,11895.3,0.9901,0.65108,1.07342,0.70022,0.38584,0.43651,0.31443,1.08988,0.79841,1.13946,4.96e-05,4.96e-05,4.96e-05
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147 |
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146,11954.2,0.99603,0.66908,1.08588,0.70273,0.38949,0.43894,0.31725,1.07872,0.79435,1.13779,4.3e-05,4.3e-05,4.3e-05
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148 |
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147,12014.9,1.01229,0.69246,1.06959,0.68355,0.39377,0.43925,0.31563,1.08871,0.79879,1.13842,3.64e-05,3.64e-05,3.64e-05
|
149 |
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148,12074,0.96254,0.68448,1.05884,0.68769,0.39073,0.43807,0.31536,1.0894,0.79957,1.13715,2.98e-05,2.98e-05,2.98e-05
|
150 |
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149,12134.1,0.94432,0.62465,1.07881,0.66821,0.39529,0.44124,0.31713,1.08533,0.79679,1.13773,2.32e-05,2.32e-05,2.32e-05
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151 |
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150,12193.3,0.96717,0.63477,1.07268,0.68351,0.39345,0.43939,0.31728,1.08148,0.79356,1.13789,1.66e-05,1.66e-05,1.66e-05
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results.png
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train_batch0.jpg
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train_batch2.jpg
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train_batch6301.jpg
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train_batch6302.jpg
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val_batch0_labels.jpg
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val_batch0_pred.jpg
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val_batch1_labels.jpg
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val_batch1_pred.jpg
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val_batch2_pred.jpg
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weights/best.pt
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