Add baseline/trening_15k_boi2
Browse files- .gitattributes +6 -0
- baseline/trening_15k_boi2/BoxF1_curve.png +3 -0
- baseline/trening_15k_boi2/BoxPR_curve.png +0 -0
- baseline/trening_15k_boi2/BoxP_curve.png +0 -0
- baseline/trening_15k_boi2/BoxR_curve.png +3 -0
- baseline/trening_15k_boi2/args.yaml +109 -0
- baseline/trening_15k_boi2/confusion_matrix.png +3 -0
- baseline/trening_15k_boi2/confusion_matrix_normalized.png +3 -0
- baseline/trening_15k_boi2/labels.jpg +3 -0
- baseline/trening_15k_boi2/results.csv +101 -0
- baseline/trening_15k_boi2/results.png +3 -0
- baseline/trening_15k_boi2/weights/best.pt +3 -0
- baseline/trening_15k_boi2/weights/last.pt +3 -0
.gitattributes
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@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip 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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*.zip 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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baseline/trening_15k_boi2/BoxF1_curve.png filter=lfs diff=lfs merge=lfs -text
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baseline/trening_15k_boi2/BoxR_curve.png filter=lfs diff=lfs merge=lfs -text
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baseline/trening_15k_boi2/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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baseline/trening_15k_boi2/confusion_matrix_normalized.png filter=lfs diff=lfs merge=lfs -text
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baseline/trening_15k_boi2/labels.jpg filter=lfs diff=lfs merge=lfs -text
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baseline/trening_15k_boi2/results.png filter=lfs diff=lfs merge=lfs -text
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baseline/trening_15k_boi2/BoxF1_curve.png
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Git LFS Details
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baseline/trening_15k_boi2/BoxPR_curve.png
ADDED
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baseline/trening_15k_boi2/BoxP_curve.png
ADDED
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baseline/trening_15k_boi2/BoxR_curve.png
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Git LFS Details
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baseline/trening_15k_boi2/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: yolov8n.pt
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| 4 |
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data: dataset.yaml
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| 5 |
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epochs: 100
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| 6 |
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time: null
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| 7 |
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patience: 20
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| 8 |
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batch: 16
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| 9 |
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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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| 13 |
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device: '0'
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workers: 8
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project: Gradient_USV
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name: trening_15k_boi2
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exist_ok: false
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pretrained: true
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| 19 |
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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: 0.0
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compile: false
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| 34 |
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overlap_mask: true
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| 35 |
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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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| 38 |
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split: val
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| 39 |
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save_json: false
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| 40 |
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conf: null
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| 41 |
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iou: 0.7
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| 42 |
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max_det: 300
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| 43 |
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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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vid_stride: 1
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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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| 57 |
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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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| 61 |
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show_labels: true
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| 62 |
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show_conf: true
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| 63 |
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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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| 83 |
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dfl: 1.5
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| 84 |
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pose: 12.0
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| 85 |
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kobj: 1.0
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| 86 |
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rle: 1.0
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| 87 |
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angle: 1.0
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| 88 |
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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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| 91 |
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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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| 109 |
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save_dir: /home/korab/solar-ml-boat/runs/detect/Gradient_USV/trening_15k_boi2
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baseline/trening_15k_boi2/confusion_matrix.png
ADDED
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Git LFS Details
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baseline/trening_15k_boi2/confusion_matrix_normalized.png
ADDED
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Git LFS Details
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baseline/trening_15k_boi2/labels.jpg
ADDED
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Git LFS Details
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baseline/trening_15k_boi2/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,lr/pg3,lr/pg4,lr/pg5,lr/pg6,lr/pg7
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| 28 |
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27,947.738,1.01725,0.57751,1.02462,0.90652,0.84028,0.91553,0.64009,1.08326,3.02074,0.98709,0.022278,0.007426,0.022278,0.007426,0.022278,0.007426,0.022278,0.007426
|
| 29 |
+
28,982.057,1.00059,0.56508,1.01771,0.8943,0.84747,0.91131,0.64154,1.07318,3.58131,0.97255,0.021981,0.007327,0.021981,0.007327,0.021981,0.007327,0.021981,0.007327
|
| 30 |
+
29,1016.38,0.99922,0.56015,1.01875,0.90817,0.84632,0.91573,0.64357,1.0615,2.77124,0.971,0.021684,0.007228,0.021684,0.007228,0.021684,0.007228,0.021684,0.007228
|
| 31 |
+
30,1050.67,0.98811,0.55736,1.01275,0.90059,0.85308,0.91574,0.6437,1.04903,2.94383,0.96874,0.021387,0.007129,0.021387,0.007129,0.021387,0.007129,0.021387,0.007129
|
| 32 |
+
31,1085.1,0.98924,0.55675,1.01259,0.90384,0.85121,0.91895,0.64765,1.05171,3.85703,0.97055,0.02109,0.00703,0.02109,0.00703,0.02109,0.00703,0.02109,0.00703
|
| 33 |
+
32,1119.45,0.98693,0.5519,1.01448,0.90551,0.85419,0.91859,0.651,1.06599,3.40882,0.97227,0.020793,0.006931,0.020793,0.006931,0.020793,0.006931,0.020793,0.006931
|
| 34 |
+
33,1153.81,0.98772,0.5508,1.01256,0.91218,0.84967,0.91958,0.64646,1.05972,2.98569,0.9709,0.020496,0.006832,0.020496,0.006832,0.020496,0.006832,0.020496,0.006832
|
| 35 |
+
34,1188.17,0.97867,0.54294,1.01042,0.89987,0.85914,0.91843,0.65194,1.06164,3.02125,0.96677,0.020199,0.006733,0.020199,0.006733,0.020199,0.006733,0.020199,0.006733
|
| 36 |
+
35,1222.61,0.98192,0.54396,1.01237,0.90471,0.8517,0.92019,0.65258,1.0493,3.31537,0.96703,0.019902,0.006634,0.019902,0.006634,0.019902,0.006634,0.019902,0.006634
|
| 37 |
+
36,1256.97,0.97247,0.53866,1.00551,0.8959,0.8607,0.91765,0.65124,1.04118,3.31064,0.9635,0.019605,0.006535,0.019605,0.006535,0.019605,0.006535,0.019605,0.006535
|
| 38 |
+
37,1291.35,0.97397,0.53912,1.00462,0.91253,0.85335,0.92161,0.65316,1.05495,2.73817,0.96773,0.019308,0.006436,0.019308,0.006436,0.019308,0.006436,0.019308,0.006436
|
| 39 |
+
38,1325.68,0.96021,0.52515,0.99755,0.90378,0.85998,0.92107,0.65398,1.05193,3.24281,0.95916,0.019011,0.006337,0.019011,0.006337,0.019011,0.006337,0.019011,0.006337
|
| 40 |
+
39,1360.04,0.96569,0.53452,0.99909,0.91415,0.85121,0.92227,0.65704,1.05074,2.58723,0.96082,0.018714,0.006238,0.018714,0.006238,0.018714,0.006238,0.018714,0.006238
|
| 41 |
+
40,1394.42,0.96991,0.53472,1.00617,0.90598,0.85178,0.92026,0.65446,1.04809,2.9693,0.96147,0.018417,0.006139,0.018417,0.006139,0.018417,0.006139,0.018417,0.006139
|
| 42 |
+
41,1428.84,0.96887,0.52928,0.99752,0.907,0.85624,0.92094,0.65656,1.05189,3.07063,0.96415,0.01812,0.00604,0.01812,0.00604,0.01812,0.00604,0.01812,0.00604
|
| 43 |
+
42,1463.26,0.96003,0.5274,1.0024,0.90442,0.86371,0.92114,0.65549,1.04421,3.49198,0.9584,0.017823,0.005941,0.017823,0.005941,0.017823,0.005941,0.017823,0.005941
|
| 44 |
+
43,1497.65,0.95991,0.5253,0.99921,0.90585,0.85753,0.92264,0.65745,1.05407,3.30925,0.95891,0.017526,0.005842,0.017526,0.005842,0.017526,0.005842,0.017526,0.005842
|
| 45 |
+
44,1531.99,0.96084,0.52649,1.00141,0.90545,0.86084,0.9224,0.65602,1.04694,2.99191,0.96062,0.017229,0.005743,0.017229,0.005743,0.017229,0.005743,0.017229,0.005743
|
| 46 |
+
45,1566.34,0.94476,0.52056,0.99381,0.90743,0.86241,0.92403,0.65737,1.04674,3.11827,0.95914,0.016932,0.005644,0.016932,0.005644,0.016932,0.005644,0.016932,0.005644
|
| 47 |
+
46,1600.77,0.95124,0.51816,0.99507,0.90437,0.86601,0.92287,0.65768,1.04381,3.09587,0.96706,0.016635,0.005545,0.016635,0.005545,0.016635,0.005545,0.016635,0.005545
|
| 48 |
+
47,1635.22,0.94801,0.51992,0.98976,0.90886,0.8616,0.92234,0.65808,1.05154,2.95939,0.96353,0.016338,0.005446,0.016338,0.005446,0.016338,0.005446,0.016338,0.005446
|
| 49 |
+
48,1669.67,0.94499,0.51983,0.99312,0.90766,0.86587,0.92388,0.66053,1.03708,2.70696,0.95375,0.016041,0.005347,0.016041,0.005347,0.016041,0.005347,0.016041,0.005347
|
| 50 |
+
49,1704.01,0.94401,0.51335,0.99041,0.90668,0.86459,0.92309,0.66017,1.03845,3.16489,0.95256,0.015744,0.005248,0.015744,0.005248,0.015744,0.005248,0.015744,0.005248
|
| 51 |
+
50,1738.35,0.94057,0.51263,0.9913,0.90414,0.87048,0.92485,0.66239,1.045,3.16104,0.95565,0.015447,0.005149,0.015447,0.005149,0.015447,0.005149,0.015447,0.005149
|
| 52 |
+
51,1772.7,0.9443,0.51212,0.99248,0.90778,0.86415,0.9243,0.66412,1.04583,3.04825,0.95791,0.01515,0.00505,0.01515,0.00505,0.01515,0.00505,0.01515,0.00505
|
| 53 |
+
52,1807.15,0.94005,0.50855,0.98769,0.91098,0.864,0.92382,0.66412,1.0369,3.00647,0.95314,0.014853,0.004951,0.014853,0.004951,0.014853,0.004951,0.014853,0.004951
|
| 54 |
+
53,1841.51,0.94056,0.5097,0.98974,0.90502,0.86577,0.92614,0.66395,1.03493,3.12518,0.95446,0.014556,0.004852,0.014556,0.004852,0.014556,0.004852,0.014556,0.004852
|
| 55 |
+
54,1875.84,0.92619,0.50242,0.98585,0.9131,0.86103,0.92596,0.6626,1.04026,2.99161,0.95383,0.014259,0.004753,0.014259,0.004753,0.014259,0.004753,0.014259,0.004753
|
| 56 |
+
55,1910.3,0.92148,0.50262,0.98371,0.91224,0.86072,0.92743,0.66378,1.03836,2.85872,0.95314,0.013962,0.004654,0.013962,0.004654,0.013962,0.004654,0.013962,0.004654
|
| 57 |
+
56,1944.57,0.93231,0.50372,0.98319,0.90179,0.86731,0.92828,0.66636,1.03079,2.80652,0.9502,0.013665,0.004555,0.013665,0.004555,0.013665,0.004555,0.013665,0.004555
|
| 58 |
+
57,1979.03,0.93135,0.50109,0.98425,0.91218,0.86164,0.92743,0.66582,1.03039,2.76606,0.95121,0.013368,0.004456,0.013368,0.004456,0.013368,0.004456,0.013368,0.004456
|
| 59 |
+
58,2013.34,0.92521,0.49794,0.98293,0.9098,0.86271,0.92639,0.66406,1.03146,2.90283,0.95119,0.013071,0.004357,0.013071,0.004357,0.013071,0.004357,0.013071,0.004357
|
| 60 |
+
59,2047.64,0.93036,0.50121,0.98426,0.90743,0.86328,0.92573,0.66557,1.02277,2.9924,0.94784,0.012774,0.004258,0.012774,0.004258,0.012774,0.004258,0.012774,0.004258
|
| 61 |
+
60,2081.9,0.91759,0.48769,0.97918,0.90879,0.86374,0.92588,0.66606,1.02359,3.00264,0.94783,0.012477,0.004159,0.012477,0.004159,0.012477,0.004159,0.012477,0.004159
|
| 62 |
+
61,2116.26,0.92153,0.49556,0.98176,0.91152,0.86643,0.92858,0.66714,1.0211,2.89271,0.94596,0.01218,0.00406,0.01218,0.00406,0.01218,0.00406,0.01218,0.00406
|
| 63 |
+
62,2150.55,0.91463,0.48842,0.97914,0.90777,0.86875,0.92836,0.66714,1.01482,2.94497,0.94744,0.011883,0.003961,0.011883,0.003961,0.011883,0.003961,0.011883,0.003961
|
| 64 |
+
63,2184.93,0.91776,0.48916,0.97934,0.90499,0.87094,0.92835,0.66864,1.01612,2.90167,0.94516,0.011586,0.003862,0.011586,0.003862,0.011586,0.003862,0.011586,0.003862
|
| 65 |
+
64,2219.3,0.91268,0.4927,0.97509,0.90947,0.86658,0.92812,0.66707,1.01737,2.90609,0.94316,0.011289,0.003763,0.011289,0.003763,0.011289,0.003763,0.011289,0.003763
|
| 66 |
+
65,2253.6,0.9129,0.48487,0.9755,0.9073,0.86947,0.9289,0.66868,1.01144,2.91083,0.9426,0.010992,0.003664,0.010992,0.003664,0.010992,0.003664,0.010992,0.003664
|
| 67 |
+
66,2287.96,0.91376,0.47929,0.97877,0.91297,0.86587,0.92957,0.66892,1.01237,2.83037,0.94199,0.010695,0.003565,0.010695,0.003565,0.010695,0.003565,0.010695,0.003565
|
| 68 |
+
67,2322.33,0.9078,0.4841,0.9753,0.9049,0.87272,0.92962,0.66763,1.01342,2.86692,0.94324,0.010398,0.003466,0.010398,0.003466,0.010398,0.003466,0.010398,0.003466
|
| 69 |
+
68,2356.66,0.90245,0.48022,0.97306,0.90612,0.87414,0.9312,0.66854,1.01553,2.87912,0.944,0.010101,0.003367,0.010101,0.003367,0.010101,0.003367,0.010101,0.003367
|
| 70 |
+
69,2391.09,0.89977,0.47878,0.97169,0.90974,0.86918,0.93107,0.66888,1.0144,2.87549,0.94403,0.009804,0.003268,0.009804,0.003268,0.009804,0.003268,0.009804,0.003268
|
| 71 |
+
70,2425.44,0.88905,0.47252,0.97114,0.91245,0.8663,0.93029,0.66915,1.01344,2.9512,0.94392,0.009507,0.003169,0.009507,0.003169,0.009507,0.003169,0.009507,0.003169
|
| 72 |
+
71,2459.77,0.89591,0.47383,0.96934,0.91327,0.86738,0.9303,0.66875,1.01221,2.89238,0.94321,0.00921,0.00307,0.00921,0.00307,0.00921,0.00307,0.00921,0.00307
|
| 73 |
+
72,2494.18,0.88799,0.47328,0.96624,0.91484,0.86659,0.93072,0.66943,1.01235,2.89355,0.94257,0.008913,0.002971,0.008913,0.002971,0.008913,0.002971,0.008913,0.002971
|
| 74 |
+
73,2528.51,0.89874,0.47841,0.97118,0.91333,0.86688,0.93075,0.66973,1.01078,2.89057,0.94274,0.008616,0.002872,0.008616,0.002872,0.008616,0.002872,0.008616,0.002872
|
| 75 |
+
74,2562.76,0.89373,0.46442,0.96532,0.90397,0.87565,0.92977,0.66966,1.0098,2.91118,0.94172,0.008319,0.002773,0.008319,0.002773,0.008319,0.002773,0.008319,0.002773
|
| 76 |
+
75,2597.04,0.87874,0.46632,0.96664,0.91128,0.86678,0.92918,0.66977,1.00854,2.91921,0.94149,0.008022,0.002674,0.008022,0.002674,0.008022,0.002674,0.008022,0.002674
|
| 77 |
+
76,2631.39,0.89012,0.4675,0.96724,0.91035,0.86803,0.92833,0.67014,1.01068,2.88121,0.9423,0.007725,0.002575,0.007725,0.002575,0.007725,0.002575,0.007725,0.002575
|
| 78 |
+
77,2665.75,0.8923,0.46655,0.9667,0.90616,0.87316,0.92921,0.67101,1.01138,2.88477,0.94197,0.007428,0.002476,0.007428,0.002476,0.007428,0.002476,0.007428,0.002476
|
| 79 |
+
78,2700.12,0.87648,0.46619,0.96445,0.90826,0.86965,0.92946,0.67158,1.0123,2.83111,0.94217,0.007131,0.002377,0.007131,0.002377,0.007131,0.002377,0.007131,0.002377
|
| 80 |
+
79,2734.45,0.8811,0.46107,0.96676,0.91032,0.86817,0.92911,0.67132,1.01131,2.80801,0.94295,0.006834,0.002278,0.006834,0.002278,0.006834,0.002278,0.006834,0.002278
|
| 81 |
+
80,2768.69,0.87245,0.45995,0.96196,0.91091,0.8686,0.92959,0.67091,1.01162,2.76509,0.94285,0.006537,0.002179,0.006537,0.002179,0.006537,0.002179,0.006537,0.002179
|
| 82 |
+
81,2803.02,0.87124,0.45917,0.95824,0.91208,0.86801,0.9303,0.67107,1.012,2.73172,0.94276,0.00624,0.00208,0.00624,0.00208,0.00624,0.00208,0.00624,0.00208
|
| 83 |
+
82,2837.35,0.87431,0.45966,0.96148,0.91354,0.86739,0.93028,0.67114,1.01181,2.72182,0.94277,0.005943,0.001981,0.005943,0.001981,0.005943,0.001981,0.005943,0.001981
|
| 84 |
+
83,2871.66,0.86149,0.4547,0.95782,0.91726,0.86501,0.93074,0.67169,1.00984,2.7242,0.94311,0.005646,0.001882,0.005646,0.001882,0.005646,0.001882,0.005646,0.001882
|
| 85 |
+
84,2905.89,0.86405,0.45483,0.95822,0.91429,0.86955,0.93104,0.67136,1.01193,2.71223,0.94301,0.005349,0.001783,0.005349,0.001783,0.005349,0.001783,0.005349,0.001783
|
| 86 |
+
85,2940.31,0.85436,0.44752,0.95276,0.91231,0.87033,0.93097,0.67162,1.01119,2.71556,0.94304,0.005052,0.001684,0.005052,0.001684,0.005052,0.001684,0.005052,0.001684
|
| 87 |
+
86,2974.61,0.86073,0.45054,0.9559,0.91598,0.86688,0.93108,0.67136,1.01082,2.70909,0.94292,0.004755,0.001585,0.004755,0.001585,0.004755,0.001585,0.004755,0.001585
|
| 88 |
+
87,3008.99,0.85681,0.44499,0.95306,0.91407,0.86947,0.93136,0.67148,1.01052,2.69977,0.94294,0.004458,0.001486,0.004458,0.001486,0.004458,0.001486,0.004458,0.001486
|
| 89 |
+
88,3043.32,0.85373,0.44304,0.95151,0.91988,0.86443,0.93165,0.67154,1.01067,2.68649,0.94332,0.004161,0.001387,0.004161,0.001387,0.004161,0.001387,0.004161,0.001387
|
| 90 |
+
89,3077.66,0.85356,0.44686,0.95436,0.91849,0.8663,0.93082,0.67087,1.01109,2.69127,0.94334,0.003864,0.001288,0.003864,0.001288,0.003864,0.001288,0.003864,0.001288
|
| 91 |
+
90,3111.98,0.8416,0.44047,0.94997,0.91819,0.86659,0.93103,0.67093,1.01034,2.67496,0.94367,0.003567,0.001189,0.003567,0.001189,0.003567,0.001189,0.003567,0.001189
|
| 92 |
+
91,3146.32,0.87013,0.42756,0.95714,0.91771,0.8676,0.93171,0.67117,1.01018,2.65652,0.94394,0.00327,0.00109,0.00327,0.00109,0.00327,0.00109,0.00327,0.00109
|
| 93 |
+
92,3180.11,0.85859,0.42089,0.95544,0.92184,0.86468,0.93074,0.67116,1.00888,2.65601,0.94415,0.002973,0.000991,0.002973,0.000991,0.002973,0.000991,0.002973,0.000991
|
| 94 |
+
93,3213.93,0.85533,0.41938,0.95164,0.92135,0.8653,0.9308,0.67128,1.00999,2.651,0.94448,0.002676,0.000892,0.002676,0.000892,0.002676,0.000892,0.002676,0.000892
|
| 95 |
+
94,3247.71,0.84903,0.41836,0.94931,0.91986,0.86659,0.93091,0.67122,1.0106,2.64538,0.94477,0.002379,0.000793,0.002379,0.000793,0.002379,0.000793,0.002379,0.000793
|
| 96 |
+
95,3281.49,0.84809,0.41762,0.94976,0.91999,0.86618,0.93104,0.67149,1.01065,2.63449,0.94525,0.002082,0.000694,0.002082,0.000694,0.002082,0.000694,0.002082,0.000694
|
| 97 |
+
96,3315.22,0.83905,0.40962,0.94703,0.91917,0.86647,0.93114,0.67128,1.00998,2.62347,0.94529,0.001785,0.000595,0.001785,0.000595,0.001785,0.000595,0.001785,0.000595
|
| 98 |
+
97,3349.08,0.84859,0.41371,0.94637,0.92008,0.86573,0.93114,0.67115,1.01083,2.61796,0.9452,0.001488,0.000496,0.001488,0.000496,0.001488,0.000496,0.001488,0.000496
|
| 99 |
+
98,3382.91,0.83657,0.41097,0.94632,0.91882,0.86587,0.93098,0.67144,1.01048,2.61853,0.94545,0.001191,0.000397,0.001191,0.000397,0.001191,0.000397,0.001191,0.000397
|
| 100 |
+
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baseline/trening_15k_boi2/results.png
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Git LFS Details
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baseline/trening_15k_boi2/weights/best.pt
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@@ -0,0 +1,3 @@
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size 6260842
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baseline/trening_15k_boi2/weights/last.pt
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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