jparedesDS
commited on
Upload 24 files
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
- labels.jpg +0 -0
- labels_correlogram.jpg +0 -0
- results.csv +51 -0
- results.png +0 -0
- train_batch0.jpg +0 -0
- train_batch1.jpg +0 -0
- train_batch2.jpg +0 -0
- train_batch4680.jpg +0 -0
- train_batch4681.jpg +0 -0
- train_batch4682.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_labels.jpg +0 -0
- val_batch2_pred.jpg +0 -0
- welding_defects_yolo11x.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: detect
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mode: train
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model: yolo11x.pt
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data: /content/drive/MyDrive/OBJECT DETECTION/welding/data.yaml
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epochs: 50
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time: null
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patience: 50
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batch: -1
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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: null
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workers: 8
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project: null
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name: train2
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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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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: 0.01
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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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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/detect/train2
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confusion_matrix.png
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confusion_matrix_normalized.png
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labels.jpg
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labels_correlogram.jpg
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results.csv
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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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2,197.374,1.33419,1.2238,1.38517,0.31915,0.35325,0.33934,0.18372,1.7217,3.07208,1.80703,0.000813343,0.000813343,0.000813343
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results.png
ADDED
train_batch0.jpg
ADDED
train_batch1.jpg
ADDED
train_batch2.jpg
ADDED
train_batch4680.jpg
ADDED
train_batch4681.jpg
ADDED
train_batch4682.jpg
ADDED
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_labels.jpg
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val_batch2_pred.jpg
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welding_defects_yolo11x.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:397f01d1868db87fcc74e5c52e0895c5952417d91bb71891976a2f5d8a3d9be2
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size 114398098
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