Upload YOLO11L trained model for safety equipment detection
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- .gitattributes +51 -0
- archive_name.zip +3 -0
- detection_result.jpg +3 -0
- runs/detect/train/args.yaml +106 -0
- runs/detect/train/labels.jpg +3 -0
- runs/detect/train2/args.yaml +106 -0
- runs/detect/train2/labels.jpg +3 -0
- runs/detect/train3/args.yaml +106 -0
- runs/detect/train3/labels.jpg +3 -0
- runs/detect/train3/train_batch0.jpg +3 -0
- runs/detect/train3/train_batch1.jpg +3 -0
- runs/detect/train3/train_batch2.jpg +3 -0
- runs/detect/train4/BoxF1_curve.png +3 -0
- runs/detect/train4/BoxPR_curve.png +3 -0
- runs/detect/train4/BoxP_curve.png +3 -0
- runs/detect/train4/BoxR_curve.png +3 -0
- runs/detect/train4/args.yaml +106 -0
- runs/detect/train4/confusion_matrix.png +3 -0
- runs/detect/train4/confusion_matrix_normalized.png +3 -0
- runs/detect/train4/labels.jpg +3 -0
- runs/detect/train4/results.csv +51 -0
- runs/detect/train4/results.png +3 -0
- runs/detect/train4/train_batch0.jpg +3 -0
- runs/detect/train4/train_batch1.jpg +3 -0
- runs/detect/train4/train_batch2.jpg +3 -0
- runs/detect/train4/train_batch2960.jpg +3 -0
- runs/detect/train4/train_batch2961.jpg +3 -0
- runs/detect/train4/train_batch2962.jpg +3 -0
- runs/detect/train4/val_batch0_labels.jpg +3 -0
- runs/detect/train4/val_batch0_pred.jpg +3 -0
- runs/detect/train4/val_batch1_labels.jpg +3 -0
- runs/detect/train4/val_batch1_pred.jpg +3 -0
- runs/detect/train4/val_batch2_labels.jpg +3 -0
- runs/detect/train4/val_batch2_pred.jpg +3 -0
- runs/detect/train4/weights/best.onnx +3 -0
- runs/detect/train4/weights/best.pt +3 -0
- runs/detect/train4/weights/last.pt +3 -0
- runs/detect/val/BoxF1_curve.png +3 -0
- runs/detect/val/BoxPR_curve.png +3 -0
- runs/detect/val/BoxP_curve.png +3 -0
- runs/detect/val/BoxR_curve.png +3 -0
- runs/detect/val/confusion_matrix.png +3 -0
- runs/detect/val/confusion_matrix_normalized.png +3 -0
- runs/detect/val/val_batch0_labels.jpg +3 -0
- runs/detect/val/val_batch0_pred.jpg +3 -0
- runs/detect/val/val_batch1_labels.jpg +3 -0
- runs/detect/val/val_batch1_pred.jpg +3 -0
- runs/detect/val/val_batch2_labels.jpg +3 -0
- runs/detect/val/val_batch2_pred.jpg +3 -0
- runs/detect/val2/BoxF1_curve.png +3 -0
.gitattributes
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@@ -34,3 +34,54 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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labels.jpg filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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labels.jpg filter=lfs diff=lfs merge=lfs -text
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detection_result.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train/labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train2/labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train3/labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train3/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train3/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train3/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/BoxF1_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/BoxPR_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/BoxP_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/BoxR_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/confusion_matrix_normalized.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/results.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/train_batch0.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/train_batch1.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/train_batch2.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/train_batch2960.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/train_batch2961.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/train_batch2962.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/train4/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/BoxF1_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/BoxPR_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/BoxP_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/BoxR_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/confusion_matrix_normalized.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/BoxF1_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/BoxPR_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/BoxP_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/BoxR_curve.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/confusion_matrix_normalized.png filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/val_batch0_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/val_batch0_pred.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/val_batch1_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/val_batch1_pred.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/val_batch2_labels.jpg filter=lfs diff=lfs merge=lfs -text
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runs/detect/val2/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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archive_name.zip
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ae8a7b7ac54060cc98d531ccea5b4e4555921d706b594b7cb75e2e24df0ea76
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size 524548941
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detection_result.jpg
ADDED
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Git LFS Details
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runs/detect/train/args.yaml
ADDED
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task: detect
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mode: train
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model: yolo11x.pt
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data: /kaggle/working/yolo2_params.yaml
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epochs: 50
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time: null
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patience: 100
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batch: 40
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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: 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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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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compile: 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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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: null
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nms: false
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lr0: 0.01
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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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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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| 93 |
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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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| 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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copy_paste_mode: flip
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auto_augment: randaugment
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erasing: 0.4
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cfg: null
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tracker: botsort.yaml
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| 106 |
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save_dir: /kaggle/working/runs/detect/train
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runs/detect/train/labels.jpg
ADDED
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Git LFS Details
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runs/detect/train2/args.yaml
ADDED
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@@ -0,0 +1,106 @@
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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: yolo11x.pt
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| 4 |
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data: /kaggle/working/yolo2_params.yaml
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| 5 |
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epochs: 50
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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: 35
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| 9 |
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imgsz: 640
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| 10 |
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save: true
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| 11 |
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save_period: -1
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| 12 |
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cache: false
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| 13 |
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device: 0,1
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| 14 |
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workers: 8
|
| 15 |
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| 16 |
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| 17 |
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| 36 |
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| 38 |
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| 40 |
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| 41 |
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| 59 |
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| 60 |
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runs/detect/train2/labels.jpg
ADDED
|
Git LFS Details
|
runs/detect/train3/args.yaml
ADDED
|
@@ -0,0 +1,106 @@
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|
| 1 |
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task: detect
|
| 2 |
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mode: train
|
| 3 |
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model: yolo11x.pt
|
| 4 |
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data: /kaggle/working/yolo2_params.yaml
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|
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| 17 |
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| 19 |
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| 20 |
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|
| 21 |
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| 24 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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|
| 38 |
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split: val
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| 39 |
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|
| 40 |
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conf: null
|
| 41 |
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| 103 |
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cfg: null
|
| 105 |
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tracker: botsort.yaml
|
| 106 |
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save_dir: /kaggle/working/runs/detect/train3
|
runs/detect/train3/labels.jpg
ADDED
|
Git LFS Details
|
runs/detect/train3/train_batch0.jpg
ADDED
|
Git LFS Details
|
runs/detect/train3/train_batch1.jpg
ADDED
|
Git LFS Details
|
runs/detect/train3/train_batch2.jpg
ADDED
|
Git LFS Details
|
runs/detect/train4/BoxF1_curve.png
ADDED
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Git LFS Details
|
runs/detect/train4/BoxPR_curve.png
ADDED
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Git LFS Details
|
runs/detect/train4/BoxP_curve.png
ADDED
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Git LFS Details
|
runs/detect/train4/BoxR_curve.png
ADDED
|
Git LFS Details
|
runs/detect/train4/args.yaml
ADDED
|
@@ -0,0 +1,106 @@
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|
| 1 |
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task: detect
|
| 2 |
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mode: train
|
| 3 |
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model: yolo11x.pt
|
| 4 |
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data: /kaggle/working/yolo2_params.yaml
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| 5 |
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|
| 6 |
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| 31 |
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| 32 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 45 |
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| 47 |
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| 48 |
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| 72 |
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| 75 |
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| 76 |
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| 78 |
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| 103 |
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| 104 |
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cfg: null
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| 105 |
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tracker: botsort.yaml
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| 106 |
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save_dir: /kaggle/working/runs/detect/train4
|
runs/detect/train4/confusion_matrix.png
ADDED
|
Git LFS Details
|
runs/detect/train4/confusion_matrix_normalized.png
ADDED
|
Git LFS Details
|
runs/detect/train4/labels.jpg
ADDED
|
Git LFS Details
|
runs/detect/train4/results.csv
ADDED
|
@@ -0,0 +1,51 @@
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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
|
| 2 |
+
1,91.529,0.94264,1.92985,1.18874,0.25584,0.39952,0.23319,0.15257,1.31186,13.1908,1.87928,0.000298905,0.000298905,0.000298905
|
| 3 |
+
2,177.779,1.1338,1.36715,1.29883,0.39236,0.36955,0.3089,0.18037,1.44171,3.82009,1.82154,0.000589988,0.000589988,0.000589988
|
| 4 |
+
3,264.78,1.29481,1.5126,1.41345,0.30326,0.27675,0.19986,0.10626,1.79253,4.14705,2.16711,0.000869071,0.000869071,0.000869071
|
| 5 |
+
4,350.21,1.21756,1.45967,1.3622,0.65237,0.39533,0.4511,0.30233,1.28036,2.56467,1.51953,0.000855005,0.000855005,0.000855005
|
| 6 |
+
5,435.967,1.12277,1.27538,1.30631,0.75934,0.50345,0.59642,0.42369,0.98102,1.44763,1.22644,0.000837007,0.000837007,0.000837007
|
| 7 |
+
6,521.37,1.04593,1.14504,1.26149,0.75307,0.48237,0.56552,0.40291,1.01729,1.21719,1.27813,0.000819009,0.000819009,0.000819009
|
| 8 |
+
7,606.728,1.02423,1.05796,1.21283,0.67533,0.52881,0.5612,0.40394,0.97586,1.29906,1.20071,0.000801011,0.000801011,0.000801011
|
| 9 |
+
8,691.904,0.97807,1.01495,1.19574,0.71718,0.61826,0.64343,0.47627,0.87704,1.12258,1.15837,0.000783013,0.000783013,0.000783013
|
| 10 |
+
9,777.874,0.9244,0.94698,1.16868,0.77985,0.54539,0.63981,0.47301,0.86459,1.04077,1.16178,0.000765014,0.000765014,0.000765014
|
| 11 |
+
10,863.366,0.89196,0.91287,1.15079,0.76996,0.5811,0.64132,0.47805,0.8287,0.96411,1.12201,0.000747016,0.000747016,0.000747016
|
| 12 |
+
11,949.433,0.90757,0.89227,1.16436,0.7457,0.64442,0.68811,0.52168,0.79138,0.90797,1.0854,0.000729018,0.000729018,0.000729018
|
| 13 |
+
12,1034.88,0.85768,0.85141,1.13484,0.86522,0.62564,0.71489,0.56428,0.69622,0.76447,1.03433,0.00071102,0.00071102,0.00071102
|
| 14 |
+
13,1120.9,0.82225,0.83112,1.12148,0.87843,0.62524,0.72674,0.56881,0.72085,0.70095,1.03219,0.000693022,0.000693022,0.000693022
|
| 15 |
+
14,1207.07,0.80019,0.79183,1.09211,0.87092,0.63603,0.72808,0.57322,0.69844,0.72998,1.04399,0.000675023,0.000675023,0.000675023
|
| 16 |
+
15,1292.97,0.79913,0.77826,1.09992,0.86968,0.65995,0.74424,0.5796,0.7025,0.69801,1.03653,0.000657025,0.000657025,0.000657025
|
| 17 |
+
16,1378.81,0.78478,0.73486,1.08418,0.85331,0.66238,0.7361,0.57178,0.7065,0.69737,1.05009,0.000639027,0.000639027,0.000639027
|
| 18 |
+
17,1464.36,0.7445,0.72459,1.07008,0.89077,0.61595,0.71935,0.5684,0.69395,0.70078,1.03791,0.000621029,0.000621029,0.000621029
|
| 19 |
+
18,1549.57,0.74974,0.72102,1.07411,0.89366,0.65925,0.75678,0.60303,0.664,0.7581,1.00084,0.000603031,0.000603031,0.000603031
|
| 20 |
+
19,1635.35,0.74372,0.67931,1.04686,0.81739,0.66993,0.7396,0.59506,0.65814,0.65689,1.0132,0.000585032,0.000585032,0.000585032
|
| 21 |
+
20,1721.01,0.7055,0.63942,1.03264,0.8991,0.6511,0.76349,0.61603,0.61624,0.62524,0.99074,0.000567034,0.000567034,0.000567034
|
| 22 |
+
21,1807.25,0.72875,0.69636,1.05603,0.91777,0.65896,0.76125,0.61607,0.62178,0.59331,0.98963,0.000549036,0.000549036,0.000549036
|
| 23 |
+
22,1893.26,0.70743,0.65677,1.03274,0.84559,0.67858,0.77401,0.63678,0.59208,0.59038,0.96824,0.000531038,0.000531038,0.000531038
|
| 24 |
+
23,1979.13,0.70716,0.65859,1.03079,0.89473,0.69385,0.78281,0.63907,0.61163,0.56039,0.96462,0.00051304,0.00051304,0.00051304
|
| 25 |
+
24,2064.65,0.67207,0.60979,1.01847,0.89455,0.70893,0.79558,0.646,0.56708,0.56247,0.96018,0.000495041,0.000495041,0.000495041
|
| 26 |
+
25,2150.8,0.65483,0.58131,1.01003,0.88438,0.6985,0.78219,0.63961,0.56859,0.56807,0.96019,0.000477043,0.000477043,0.000477043
|
| 27 |
+
26,2235.94,0.67162,0.59527,1.00768,0.90248,0.71792,0.79891,0.66059,0.53433,0.50473,0.95,0.000459045,0.000459045,0.000459045
|
| 28 |
+
27,2321.71,0.64558,0.57678,0.98868,0.90688,0.69146,0.78693,0.65323,0.53799,0.51713,0.95046,0.000441047,0.000441047,0.000441047
|
| 29 |
+
28,2407.31,0.6128,0.55415,0.99326,0.93334,0.71104,0.81418,0.67997,0.51451,0.48751,0.9323,0.000423049,0.000423049,0.000423049
|
| 30 |
+
29,2493.15,0.61861,0.54689,0.99149,0.89861,0.74023,0.81238,0.68223,0.51265,0.4693,0.94211,0.00040505,0.00040505,0.00040505
|
| 31 |
+
30,2578.93,0.5957,0.51339,0.97668,0.90295,0.73328,0.8088,0.68053,0.51299,0.47139,0.93081,0.000387052,0.000387052,0.000387052
|
| 32 |
+
31,2664.03,0.59342,0.51157,0.96061,0.88702,0.74393,0.8034,0.67586,0.51169,0.4976,0.92688,0.000369054,0.000369054,0.000369054
|
| 33 |
+
32,2749.54,0.55615,0.49172,0.97039,0.8912,0.77377,0.82084,0.6941,0.49532,0.44785,0.92884,0.000351056,0.000351056,0.000351056
|
| 34 |
+
33,2835.13,0.56232,0.49936,0.95881,0.90527,0.74965,0.82095,0.69926,0.47089,0.42342,0.91342,0.000333058,0.000333058,0.000333058
|
| 35 |
+
34,2921.09,0.56865,0.49477,0.95787,0.92132,0.7605,0.82683,0.69402,0.5027,0.4403,0.92647,0.000315059,0.000315059,0.000315059
|
| 36 |
+
35,3006.47,0.5507,0.47354,0.95338,0.90714,0.76819,0.83498,0.7121,0.46729,0.41387,0.91282,0.000297061,0.000297061,0.000297061
|
| 37 |
+
36,3092.02,0.5476,0.46184,0.95569,0.94644,0.74556,0.83755,0.71395,0.44452,0.40959,0.89789,0.000279063,0.000279063,0.000279063
|
| 38 |
+
37,3178.58,0.52387,0.44465,0.95147,0.90894,0.76495,0.83005,0.70685,0.46554,0.41247,0.92272,0.000261065,0.000261065,0.000261065
|
| 39 |
+
38,3264.41,0.52276,0.45422,0.93895,0.93237,0.75367,0.84202,0.71671,0.44665,0.41301,0.89884,0.000243067,0.000243067,0.000243067
|
| 40 |
+
39,3350.16,0.50944,0.42725,0.92834,0.90843,0.77452,0.8445,0.71867,0.44856,0.41279,0.90472,0.000225068,0.000225068,0.000225068
|
| 41 |
+
40,3436.16,0.52798,0.44443,0.93357,0.93738,0.75994,0.8462,0.72717,0.44161,0.40003,0.90145,0.00020707,0.00020707,0.00020707
|
| 42 |
+
41,3525.74,0.45523,0.38214,0.90377,0.93896,0.75326,0.8349,0.7103,0.44912,0.40688,0.91632,0.000189072,0.000189072,0.000189072
|
| 43 |
+
42,3610.21,0.42914,0.3422,0.87545,0.94324,0.75471,0.83406,0.71048,0.44546,0.39936,0.91135,0.000171074,0.000171074,0.000171074
|
| 44 |
+
43,3695.35,0.42336,0.34039,0.87573,0.91925,0.75661,0.83702,0.71818,0.4398,0.40891,0.89904,0.000153076,0.000153076,0.000153076
|
| 45 |
+
44,3780.36,0.41282,0.324,0.86545,0.94552,0.77529,0.84944,0.73372,0.43042,0.38239,0.89709,0.000135077,0.000135077,0.000135077
|
| 46 |
+
45,3865.2,0.39748,0.31283,0.85783,0.947,0.76838,0.84576,0.72485,0.43533,0.38828,0.89783,0.000117079,0.000117079,0.000117079
|
| 47 |
+
46,3949.77,0.3928,0.31678,0.85893,0.94234,0.76319,0.84821,0.73478,0.41558,0.36934,0.88507,9.9081e-05,9.9081e-05,9.9081e-05
|
| 48 |
+
47,4034.76,0.38911,0.30199,0.85347,0.92584,0.78124,0.84817,0.73488,0.41412,0.36112,0.88308,8.10828e-05,8.10828e-05,8.10828e-05
|
| 49 |
+
48,4119.95,0.38484,0.29955,0.85033,0.95157,0.7771,0.8518,0.74395,0.40015,0.35187,0.87498,6.30846e-05,6.30846e-05,6.30846e-05
|
| 50 |
+
49,4205.26,0.37943,0.28843,0.85387,0.94974,0.779,0.85012,0.73827,0.4056,0.34926,0.88075,4.50864e-05,4.50864e-05,4.50864e-05
|
| 51 |
+
50,4289.93,0.36028,0.27703,0.84376,0.96358,0.77498,0.8514,0.73997,0.39621,0.34342,0.87733,2.70882e-05,2.70882e-05,2.70882e-05
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