Delete football-players-detection
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- football-players-detection/yolo26l.pt_50_1280/BoxF1_curve.png +0 -3
- football-players-detection/yolo26l.pt_50_1280/BoxPR_curve.png +0 -3
- football-players-detection/yolo26l.pt_50_1280/BoxP_curve.png +0 -3
- football-players-detection/yolo26l.pt_50_1280/BoxR_curve.png +0 -3
- football-players-detection/yolo26l.pt_50_1280/args.yaml +0 -109
- football-players-detection/yolo26l.pt_50_1280/confusion_matrix.png +0 -3
- football-players-detection/yolo26l.pt_50_1280/confusion_matrix_normalized.png +0 -3
- football-players-detection/yolo26l.pt_50_1280/labels.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/results.csv +0 -51
- football-players-detection/yolo26l.pt_50_1280/results.png +0 -3
- football-players-detection/yolo26l.pt_50_1280/train_batch0.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/train_batch1.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/train_batch14000.jpg +0 -0
- football-players-detection/yolo26l.pt_50_1280/train_batch14001.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/train_batch14002.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/train_batch2.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/val_batch0_labels.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/val_batch0_pred.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/val_batch1_labels.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/val_batch1_pred.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/val_batch2_labels.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/val_batch2_pred.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1280/weights/best.pt +0 -3
- football-players-detection/yolo26l.pt_50_1280/weights/last.pt +0 -3
- football-players-detection/yolo26l.pt_50_1920/BoxF1_curve.png +0 -3
- football-players-detection/yolo26l.pt_50_1920/BoxPR_curve.png +0 -3
- football-players-detection/yolo26l.pt_50_1920/BoxP_curve.png +0 -3
- football-players-detection/yolo26l.pt_50_1920/BoxR_curve.png +0 -3
- football-players-detection/yolo26l.pt_50_1920/args.yaml +0 -109
- football-players-detection/yolo26l.pt_50_1920/confusion_matrix.png +0 -3
- football-players-detection/yolo26l.pt_50_1920/confusion_matrix_normalized.png +0 -3
- football-players-detection/yolo26l.pt_50_1920/labels.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/results.csv +0 -51
- football-players-detection/yolo26l.pt_50_1920/results.png +0 -3
- football-players-detection/yolo26l.pt_50_1920/train_batch0.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/train_batch1.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/train_batch2.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/train_batch7000.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/train_batch7001.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/train_batch7002.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/val_batch0_labels.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/val_batch0_pred.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/val_batch1_labels.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/val_batch1_pred.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/val_batch2_labels.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/val_batch2_pred.jpg +0 -3
- football-players-detection/yolo26l.pt_50_1920/weights/best.pt +0 -3
- football-players-detection/yolo26l.pt_50_1920/weights/last.pt +0 -3
- football-players-detection/yolo26m.pt_50_1280/BoxF1_curve.png +0 -3
- football-players-detection/yolo26m.pt_50_1280/BoxPR_curve.png +0 -3
football-players-detection/yolo26l.pt_50_1280/BoxF1_curve.png
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Git LFS Details
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football-players-detection/yolo26l.pt_50_1280/BoxPR_curve.png
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Git LFS Details
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football-players-detection/yolo26l.pt_50_1280/BoxP_curve.png
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Git LFS Details
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football-players-detection/yolo26l.pt_50_1280/BoxR_curve.png
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Git LFS Details
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football-players-detection/yolo26l.pt_50_1280/args.yaml
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task: detect
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mode: train
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model: yolo26l.pt
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data: /workspace/datasets/football-players-detection-7/data.yaml
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epochs: 50
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time: null
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patience: 100
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batch: -1
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imgsz: 1280
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save: true
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save_period: -1
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cache: false
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device: null
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workers: 8
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project: null
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name: yolo26l.pt_50_1280
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| 17 |
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exist_ok: false
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| 18 |
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pretrained: true
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| 19 |
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optimizer: auto
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| 20 |
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verbose: true
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| 21 |
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seed: 0
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| 22 |
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deterministic: true
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| 23 |
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single_cls: false
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rect: false
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| 25 |
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cos_lr: false
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| 26 |
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close_mosaic: 10
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| 27 |
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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: 0.0
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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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| 38 |
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split: val
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| 39 |
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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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| 44 |
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dnn: false
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| 45 |
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plots: true
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| 46 |
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end2end: null
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source: null
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| 48 |
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vid_stride: 1
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| 49 |
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stream_buffer: false
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| 50 |
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visualize: false
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| 51 |
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augment: false
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| 52 |
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agnostic_nms: false
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| 53 |
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classes: null
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| 54 |
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retina_masks: false
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| 55 |
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embed: null
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| 56 |
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show: false
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save_frames: false
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| 58 |
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save_txt: false
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| 59 |
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save_conf: false
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| 60 |
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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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| 64 |
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line_width: null
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| 65 |
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format: torchscript
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| 66 |
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keras: false
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| 67 |
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optimize: false
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| 68 |
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int8: false
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| 69 |
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dynamic: false
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| 70 |
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simplify: true
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| 71 |
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opset: null
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| 72 |
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workspace: null
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| 73 |
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nms: false
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| 74 |
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lr0: 0.01
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| 75 |
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lrf: 0.01
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| 76 |
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momentum: 0.937
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| 77 |
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weight_decay: 0.0005
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| 78 |
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warmup_epochs: 3.0
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| 79 |
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warmup_momentum: 0.8
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| 80 |
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warmup_bias_lr: 0.1
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| 81 |
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box: 7.5
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| 82 |
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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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rle: 1.0
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angle: 1.0
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nbs: 64
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| 89 |
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hsv_h: 0.015
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| 90 |
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hsv_s: 0.7
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hsv_v: 0.4
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| 92 |
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degrees: 0.0
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| 93 |
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translate: 0.1
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| 94 |
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scale: 0.5
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| 95 |
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shear: 0.0
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| 96 |
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perspective: 0.0
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| 97 |
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flipud: 0.0
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| 98 |
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fliplr: 0.5
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| 99 |
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bgr: 0.0
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| 100 |
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mosaic: 1.0
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| 101 |
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mixup: 0.0
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| 102 |
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cutmix: 0.0
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| 103 |
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copy_paste: 0.0
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| 104 |
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copy_paste_mode: flip
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| 105 |
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auto_augment: randaugment
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| 106 |
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erasing: 0.4
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| 107 |
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cfg: null
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| 108 |
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tracker: botsort.yaml
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save_dir: /workspace/runs/detect/yolo26l.pt_50_1280
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football-players-detection/yolo26l.pt_50_1280/confusion_matrix.png
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Git LFS Details
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football-players-detection/yolo26l.pt_50_1280/confusion_matrix_normalized.png
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Git LFS Details
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football-players-detection/yolo26l.pt_50_1280/labels.jpg
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Git LFS Details
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football-players-detection/yolo26l.pt_50_1280/results.csv
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| 1 |
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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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| 2 |
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1,61.6167,0.95008,2.61921,0.00088,0.82038,0.4986,0.5263,0.35752,0.90636,0.66535,0.00123,0.000415476,0.000415476,0.000415476
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| 3 |
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2,119.525,0.98141,0.91475,0.00095,0.8856,0.63572,0.71614,0.45958,0.97411,0.53395,0.00137,0.000815666,0.000815666,0.000815666
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| 4 |
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3,177.124,1.00486,0.67473,0.00098,0.86751,0.70127,0.80553,0.54368,0.90772,0.45662,0.00128,0.00119936,0.00119936,0.00119936
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| 5 |
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4,231.299,1.04287,0.66916,0.00101,0.80549,0.77484,0.8309,0.56373,0.9174,0.501,0.00129,0.00117575,0.00117575,0.00117575
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| 6 |
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5,288.332,1.13985,0.60265,0.0011,0.77831,0.7297,0.83622,0.59093,0.88826,0.45615,0.00123,0.001151,0.001151,0.001151
|
| 7 |
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6,342.982,1.03914,0.52934,0.00096,0.76578,0.83597,0.84029,0.57097,1.03807,0.44123,0.00124,0.00112625,0.00112625,0.00112625
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| 8 |
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7,398.575,1.07121,0.51341,0.00104,0.8348,0.81166,0.83486,0.56513,0.91431,0.4017,0.00129,0.0011015,0.0011015,0.0011015
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| 9 |
-
8,454.562,0.98332,0.44641,0.00089,0.78607,0.75046,0.8167,0.57615,0.83625,0.39907,0.00106,0.00107675,0.00107675,0.00107675
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| 10 |
-
9,509.52,0.89002,0.41701,0.00079,0.83685,0.82691,0.8781,0.6358,0.77853,0.35134,0.00093,0.001052,0.001052,0.001052
|
| 11 |
-
10,566.822,0.87977,0.40091,0.00083,0.79559,0.87339,0.88773,0.63863,0.77853,0.39067,0.00095,0.00102725,0.00102725,0.00102725
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| 12 |
-
11,620.566,0.87969,0.396,0.00082,0.89306,0.89719,0.91516,0.66573,0.74814,0.31917,0.00091,0.0010025,0.0010025,0.0010025
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| 13 |
-
12,667.726,0.88931,0.37698,0.00083,0.94278,0.89511,0.92219,0.68012,0.79266,0.29393,0.00107,0.00097775,0.00097775,0.00097775
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| 14 |
-
13,715.31,0.85319,0.34435,0.00075,0.92383,0.8425,0.91559,0.66065,0.79165,0.29621,0.00099,0.000953,0.000953,0.000953
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| 15 |
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14,773.822,0.87612,0.33861,0.00077,0.92055,0.89399,0.92911,0.68647,0.76521,0.30328,0.00091,0.00092825,0.00092825,0.00092825
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| 16 |
-
15,827.522,0.81617,0.32434,0.00073,0.89479,0.89186,0.94143,0.69226,0.81547,0.32458,0.00097,0.0009035,0.0009035,0.0009035
|
| 17 |
-
16,884.168,0.86548,0.3365,0.00074,0.92142,0.93458,0.93982,0.67004,0.88216,0.32173,0.00099,0.00087875,0.00087875,0.00087875
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| 18 |
-
17,937.046,0.86631,0.33037,0.00075,0.94974,0.88767,0.93535,0.70174,0.75966,0.28643,0.00093,0.000854,0.000854,0.000854
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| 19 |
-
18,992.149,0.83083,0.31014,0.00075,0.93342,0.91786,0.94389,0.69666,0.75541,0.29722,0.00088,0.00082925,0.00082925,0.00082925
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| 20 |
-
19,1048.86,0.81974,0.31045,0.00072,0.95355,0.89053,0.93886,0.71424,0.7295,0.26823,0.00088,0.0008045,0.0008045,0.0008045
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| 21 |
-
20,1103.81,0.78664,0.29121,0.00066,0.93682,0.90301,0.95171,0.70731,0.75161,0.2743,0.00089,0.00077975,0.00077975,0.00077975
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| 22 |
-
21,1162.52,0.79294,0.29364,0.00072,0.95207,0.91378,0.94447,0.70879,0.7534,0.28455,0.00092,0.000755,0.000755,0.000755
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| 23 |
-
22,1219.09,0.79655,0.29009,0.0007,0.91615,0.91415,0.93373,0.705,0.74854,0.28067,0.0009,0.00073025,0.00073025,0.00073025
|
| 24 |
-
23,1276.2,0.78086,0.29429,0.00068,0.78879,0.8228,0.88416,0.66653,0.72938,0.33792,0.00088,0.0007055,0.0007055,0.0007055
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| 25 |
-
24,1331.31,0.80109,0.2901,0.00067,0.88368,0.91106,0.92812,0.68701,0.72693,0.28085,0.00088,0.00068075,0.00068075,0.00068075
|
| 26 |
-
25,1385.39,0.78399,0.28159,0.00069,0.92904,0.93296,0.92891,0.71003,0.71325,0.27271,0.00084,0.000656,0.000656,0.000656
|
| 27 |
-
26,1440.83,0.7637,0.2738,0.00067,0.96043,0.90486,0.94399,0.68917,0.72499,0.27931,0.00085,0.00063125,0.00063125,0.00063125
|
| 28 |
-
27,1497.4,0.76183,0.27118,0.00067,0.90939,0.93093,0.94645,0.69823,0.71791,0.25937,0.00084,0.0006065,0.0006065,0.0006065
|
| 29 |
-
28,1551.61,0.7626,0.27083,0.00066,0.91693,0.93848,0.94762,0.70406,0.72846,0.26682,0.00086,0.00058175,0.00058175,0.00058175
|
| 30 |
-
29,1606.06,0.76087,0.27523,0.00065,0.91956,0.91693,0.95051,0.70843,0.72456,0.26461,0.00086,0.000557,0.000557,0.000557
|
| 31 |
-
30,1661.18,0.78071,0.27691,0.00067,0.94372,0.93523,0.94651,0.71466,0.73273,0.25127,0.00086,0.00053225,0.00053225,0.00053225
|
| 32 |
-
31,1712.77,0.74741,0.2583,0.00063,0.90525,0.96605,0.95557,0.70218,0.72764,0.25683,0.00085,0.0005075,0.0005075,0.0005075
|
| 33 |
-
32,1769.15,0.74915,0.2568,0.00064,0.95447,0.92088,0.9383,0.7019,0.72768,0.25443,0.00087,0.00048275,0.00048275,0.00048275
|
| 34 |
-
33,1828.44,0.74496,0.25325,0.00064,0.90873,0.94501,0.94068,0.69937,0.72704,0.2729,0.00086,0.000458,0.000458,0.000458
|
| 35 |
-
34,1883.33,0.73582,0.24892,0.00063,0.93628,0.894,0.9421,0.7114,0.71309,0.25753,0.00083,0.00043325,0.00043325,0.00043325
|
| 36 |
-
35,1941.98,0.72675,0.24706,0.00062,0.94122,0.90536,0.9412,0.69608,0.73108,0.27308,0.00086,0.0004085,0.0004085,0.0004085
|
| 37 |
-
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
-
46,2552.31,0.69054,0.21627,0.00057,0.97781,0.94604,0.9598,0.72477,0.71382,0.25954,0.00083,0.00013625,0.00013625,0.00013625
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 25 |
-
24,972.514,0.7998,0.29428,0.00066,0.96684,0.89907,0.95123,0.72742,0.7149,0.27832,0.00095,0.00068075,0.00068075,0.00068075
|
| 26 |
-
25,1012.6,0.76647,0.28112,0.00066,0.90215,0.91935,0.94266,0.70908,0.7008,0.28752,0.00089,0.000656,0.000656,0.000656
|
| 27 |
-
26,1052.4,0.73077,0.2708,0.00061,0.95305,0.89877,0.94928,0.71174,0.69419,0.28036,0.00087,0.00063125,0.00063125,0.00063125
|
| 28 |
-
27,1092.1,0.71868,0.25976,0.00059,0.92781,0.92741,0.94137,0.71999,0.68837,0.27111,0.00088,0.0006065,0.0006065,0.0006065
|
| 29 |
-
28,1131.84,0.72569,0.25966,0.00059,0.96803,0.91937,0.94531,0.72344,0.70082,0.27387,0.00089,0.00058175,0.00058175,0.00058175
|
| 30 |
-
29,1171.54,0.72306,0.25937,0.0006,0.97225,0.87459,0.93665,0.72453,0.68763,0.26398,0.00087,0.000557,0.000557,0.000557
|
| 31 |
-
30,1211.42,0.71526,0.25523,0.00059,0.93893,0.90948,0.94348,0.72386,0.69996,0.27423,0.0009,0.00053225,0.00053225,0.00053225
|
| 32 |
-
31,1251.23,0.7187,0.25325,0.0006,0.91435,0.90381,0.94105,0.72739,0.68029,0.27499,0.00085,0.0005075,0.0005075,0.0005075
|
| 33 |
-
32,1291.15,0.71445,0.24716,0.00057,0.9219,0.92432,0.94384,0.72391,0.71692,0.26902,0.00088,0.00048275,0.00048275,0.00048275
|
| 34 |
-
33,1331.08,0.70407,0.24513,0.00058,0.89018,0.91945,0.93186,0.71917,0.6756,0.27919,0.00086,0.000458,0.000458,0.000458
|
| 35 |
-
34,1370.95,0.70643,0.23445,0.00057,0.93788,0.88861,0.92805,0.72157,0.69392,0.27749,0.00088,0.00043325,0.00043325,0.00043325
|
| 36 |
-
35,1410.84,0.68067,0.23168,0.00054,0.90513,0.9136,0.93529,0.72774,0.68244,0.25812,0.00085,0.0004085,0.0004085,0.0004085
|
| 37 |
-
36,1450.84,0.68578,0.23229,0.00057,0.95635,0.91049,0.94609,0.7482,0.68319,0.26452,0.00085,0.00038375,0.00038375,0.00038375
|
| 38 |
-
37,1490.86,0.69386,0.23313,0.00056,0.95023,0.89469,0.94844,0.73209,0.66367,0.27656,0.00084,0.000359,0.000359,0.000359
|
| 39 |
-
38,1530.51,0.69549,0.23417,0.00056,0.94351,0.86913,0.93479,0.7453,0.6657,0.26678,0.00083,0.00033425,0.00033425,0.00033425
|
| 40 |
-
39,1570.34,0.68548,0.228,0.00053,0.96249,0.87115,0.92998,0.74195,0.68817,0.26435,0.00087,0.0003095,0.0003095,0.0003095
|
| 41 |
-
40,1610.24,0.68476,0.22798,0.00056,0.9731,0.88213,0.9472,0.73853,0.69141,0.27023,0.00089,0.00028475,0.00028475,0.00028475
|
| 42 |
-
41,1650.84,0.68222,0.22383,0.00058,0.9728,0.89633,0.94173,0.73399,0.68874,0.26225,0.00088,0.00026,0.00026,0.00026
|
| 43 |
-
42,1690.37,0.66511,0.21243,0.00055,0.97556,0.88184,0.93661,0.73018,0.68751,0.27168,0.00085,0.00023525,0.00023525,0.00023525
|
| 44 |
-
43,1730.03,0.6624,0.21097,0.00054,0.93745,0.90386,0.94422,0.74249,0.68116,0.26317,0.00086,0.0002105,0.0002105,0.0002105
|
| 45 |
-
44,1769.67,0.65681,0.21631,0.00055,0.92412,0.91377,0.9428,0.74646,0.65819,0.26837,0.00083,0.00018575,0.00018575,0.00018575
|
| 46 |
-
45,1809.33,0.64227,0.20618,0.00054,0.92717,0.90912,0.93363,0.73086,0.67045,0.27358,0.00084,0.000161,0.000161,0.000161
|
| 47 |
-
46,1849.13,0.64357,0.20794,0.00054,0.93479,0.91721,0.93367,0.72688,0.68151,0.27677,0.00084,0.00013625,0.00013625,0.00013625
|
| 48 |
-
47,1888.83,0.64375,0.20874,0.00052,0.97508,0.90002,0.93397,0.72753,0.68493,0.27366,0.00084,0.0001115,0.0001115,0.0001115
|
| 49 |
-
48,1928.4,0.6424,0.20519,0.00054,0.97899,0.87995,0.9354,0.73289,0.66921,0.26094,0.00083,8.675e-05,8.675e-05,8.675e-05
|
| 50 |
-
49,1967.21,0.63548,0.20173,0.00052,0.96103,0.90149,0.94203,0.74603,0.67066,0.25347,0.00083,6.2e-05,6.2e-05,6.2e-05
|
| 51 |
-
50,2005.88,0.62829,0.19979,0.00053,0.96191,0.9128,0.9479,0.74273,0.6769,0.2553,0.00084,3.725e-05,3.725e-05,3.725e-05
|
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