rickysambora55 commited on
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1 Parent(s): c1fc885

uploading model

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  1. train v4 yolov8n/train/F1_curve.png +0 -0
  2. train v4 yolov8n/train/PR_curve.png +0 -0
  3. train v4 yolov8n/train/P_curve.png +0 -0
  4. train v4 yolov8n/train/R_curve.png +0 -0
  5. train v4 yolov8n/train/args.yaml +98 -0
  6. train v4 yolov8n/train/confusion_matrix.png +0 -0
  7. train v4 yolov8n/train/confusion_matrix_normalized.png +0 -0
  8. train v4 yolov8n/train/events.out.tfevents.1712496475.e5479b55cadd.2347.0 +3 -0
  9. train v4 yolov8n/train/labels.jpg +0 -0
  10. train v4 yolov8n/train/labels_correlogram.jpg +0 -0
  11. train v4 yolov8n/train/results.csv +51 -0
  12. train v4 yolov8n/train/results.png +0 -0
  13. train v4 yolov8n/train/train_batch0.jpg +0 -0
  14. train v4 yolov8n/train/train_batch1.jpg +0 -0
  15. train v4 yolov8n/train/train_batch2.jpg +0 -0
  16. train v4 yolov8n/train/train_batch3080.jpg +0 -0
  17. train v4 yolov8n/train/train_batch3081.jpg +0 -0
  18. train v4 yolov8n/train/train_batch3082.jpg +0 -0
  19. train v4 yolov8n/train/val_batch0_labels.jpg +0 -0
  20. train v4 yolov8n/train/val_batch0_pred.jpg +0 -0
  21. train v4 yolov8n/train/val_batch1_labels.jpg +0 -0
  22. train v4 yolov8n/train/val_batch1_pred.jpg +0 -0
  23. train v4 yolov8n/train/val_batch2_labels.jpg +0 -0
  24. train v4 yolov8n/train/val_batch2_pred.jpg +0 -0
  25. train v4 yolov8n/train/weights/best.pt +3 -0
  26. train v4 yolov8n/train/weights/last.pt +3 -0
  27. train v4 yolov8n/val/F1_curve.png +0 -0
  28. train v4 yolov8n/val/PR_curve.png +0 -0
  29. train v4 yolov8n/val/P_curve.png +0 -0
  30. train v4 yolov8n/val/R_curve.png +0 -0
  31. train v4 yolov8n/val/confusion_matrix.png +0 -0
  32. train v4 yolov8n/val/confusion_matrix_normalized.png +0 -0
  33. train v4 yolov8n/val/val_batch0_labels.jpg +0 -0
  34. train v4 yolov8n/val/val_batch0_pred.jpg +0 -0
  35. train v4 yolov8n/val/val_batch1_labels.jpg +0 -0
  36. train v4 yolov8n/val/val_batch1_pred.jpg +0 -0
  37. train v4 yolov8n/val/val_batch2_labels.jpg +0 -0
  38. train v4 yolov8n/val/val_batch2_pred.jpg +0 -0
train v4 yolov8n/train/F1_curve.png ADDED
train v4 yolov8n/train/PR_curve.png ADDED
train v4 yolov8n/train/P_curve.png ADDED
train v4 yolov8n/train/R_curve.png ADDED
train v4 yolov8n/train/args.yaml ADDED
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+ task: detect
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+ mode: train
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+ model: yolov8n.pt
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+ data: /content/datasets/Crowd-Detection-4/data.yaml
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+ epochs: 50
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+ patience: 50
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+ batch: 32
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+ imgsz: 640
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+ save: true
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+ save_period: -1
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+ cache: false
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+ device: null
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+ workers: 8
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+ project: null
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+ name: null
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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: true
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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: 10
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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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+ show: 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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+ vid_stride: 1
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+ stream_buffer: false
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+ line_width: null
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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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+ boxes: true
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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: false
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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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+ mosaic: 1.0
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+ mixup: 0.0
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+ copy_paste: 0.0
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+ cfg: null
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+ tracker: botsort.yaml
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+ save_dir: runs/detect/train
train v4 yolov8n/train/confusion_matrix.png ADDED
train v4 yolov8n/train/confusion_matrix_normalized.png ADDED
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+ epoch, 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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