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Delete yolov8_vinos

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  1. yolov8_vinos/runs/detect/train/F1_curve.png +0 -0
  2. yolov8_vinos/runs/detect/train/PR_curve.png +0 -0
  3. yolov8_vinos/runs/detect/train/P_curve.png +0 -0
  4. yolov8_vinos/runs/detect/train/R_curve.png +0 -0
  5. yolov8_vinos/runs/detect/train/args.yaml +0 -91
  6. yolov8_vinos/runs/detect/train/confusion_matrix.png +0 -0
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  8. yolov8_vinos/runs/detect/train/model_artifacts.json +0 -1
  9. yolov8_vinos/runs/detect/train/results.csv +0 -26
  10. yolov8_vinos/runs/detect/train/results.png +0 -0
  11. yolov8_vinos/runs/detect/train/roboflow_deploy.zip +0 -3
  12. yolov8_vinos/runs/detect/train/state_dict.pt +0 -3
  13. yolov8_vinos/runs/detect/train/train_batch0.jpg +0 -0
  14. yolov8_vinos/runs/detect/train/train_batch1.jpg +0 -0
  15. yolov8_vinos/runs/detect/train/train_batch2.jpg +0 -0
  16. yolov8_vinos/runs/detect/train/train_batch4260.jpg +0 -0
  17. yolov8_vinos/runs/detect/train/train_batch4261.jpg +0 -0
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  19. yolov8_vinos/runs/detect/train/val_batch0_labels.jpg +0 -0
  20. yolov8_vinos/runs/detect/train/val_batch0_pred.jpg +0 -0
  21. yolov8_vinos/runs/detect/train/val_batch1_labels.jpg +0 -0
  22. yolov8_vinos/runs/detect/train/val_batch1_pred.jpg +0 -0
  23. yolov8_vinos/runs/detect/train/val_batch2_labels.jpg +0 -0
  24. yolov8_vinos/runs/detect/train/val_batch2_pred.jpg +0 -0
  25. yolov8_vinos/runs/detect/train/weights/best.pt +0 -3
  26. yolov8_vinos/runs/detect/train/weights/last.pt +0 -3
  27. yolov8_vinos/runs/detect/val/F1_curve.png +0 -0
  28. yolov8_vinos/runs/detect/val/PR_curve.png +0 -0
  29. yolov8_vinos/runs/detect/val/P_curve.png +0 -0
  30. yolov8_vinos/runs/detect/val/R_curve.png +0 -0
  31. yolov8_vinos/runs/detect/val/confusion_matrix.png +0 -0
  32. yolov8_vinos/runs/detect/val/val_batch0_labels.jpg +0 -0
  33. yolov8_vinos/runs/detect/val/val_batch0_pred.jpg +0 -0
  34. yolov8_vinos/runs/detect/val/val_batch1_labels.jpg +0 -0
  35. yolov8_vinos/runs/detect/val/val_batch1_pred.jpg +0 -0
  36. yolov8_vinos/runs/detect/val/val_batch2_labels.jpg +0 -0
  37. yolov8_vinos/runs/detect/val/val_batch2_pred.jpg +0 -0
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yolov8_vinos/runs/detect/train/args.yaml DELETED
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- task: detect
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- mode: train
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- model: yolov8s.yaml
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- data: /content/datasets/vinos-24/data.yaml
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- epochs: 25
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- patience: 50
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- batch: 8
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Harvest Prologo 12- Botella -ID- 3059", "Vino Late Harvest Sauvignon Blanc -ID- 3057", "Vino Merlot -ID- 3003", "Vino Merlot 2 L -ID- 2862", "Vino Merlot Gran 120 Botellon -ID- 3063", "Vino Merlot Reserva Botella -ID- 3021", "Vino Merlot Tres Medallas Vina Santa Rita Botella -ID- 3056", "Vino Merlot Vina Santa Rita 750 cc Medalla Real Reserva Especial -ID- 2997", "Vino Palo Alto Reserva Cabernet Sauvignon -ID- 3017", "Vino Palo Alto Reserva Merlot -ID- 3009", "Vino Red Blend Botella -ID- 3043", "Vino Reserva Carmenere Botella -ID- 3037", "Vino Reserva Especial Merlot 750 cc -ID- 2995", "Vino Santa Emiliana Carmenere -ID- 3039", "Vino Santa Emiliana Merlot -ID- 3022", "Vino Santa Emiliana Syrah -ID- 3055", "Vino Syrah-Cabernet Sauvignon Gran Reserva 2019 Botella -ID- 3007", "Vino Tinto 120 Carmenere Botellon -ID- 3062", "Vino Tinto Caja 2L Bodega Uno -ID- 2869", "Vino Tinto Dulce Botellon 1-5 L Exportacion Selecto -ID- 3071", "Vino Tinto Exportacion Botellon -ID- 3067", "Vino Tinto Exportacion Tetra 1 L -ID- 2865", "Vino Tinto Seleccion Dulce 750 ml Gato -ID- 3042", "Vino Tributo Carmenere Botella -ID- 3044", "Vino de Mesa Tetra Tetra -ID- 2872"], "yaml": {"nc": 101, "depth_multiple": 0.33, "width_multiple": 0.5, "backbone": [[-1, 1, "Conv", [64, 3, 2]], [-1, 1, "Conv", [128, 3, 2]], [-1, 3, "C2f", [128, true]], [-1, 1, "Conv", [256, 3, 2]], [-1, 6, "C2f", [256, true]], [-1, 1, "Conv", [512, 3, 2]], [-1, 6, "C2f", [512, true]], [-1, 1, "Conv", [1024, 3, 2]], [-1, 3, "C2f", [1024, true]], [-1, 1, "SPPF", [1024, 5]]], "head": [[-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 6], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "nn.Upsample", ["None", 2, "nearest"]], [[-1, 4], 1, "Concat", [1]], [-1, 3, "C2f", [256]], [-1, 1, "Conv", [256, 3, 2]], [[-1, 12], 1, "Concat", [1]], [-1, 3, "C2f", [512]], [-1, 1, "Conv", [512, 3, 2]], [[-1, 9], 1, "Concat", [1]], [-1, 3, "C2f", [1024]], [[15, 18, 21], 1, "Detect", ["nc"]]], "ch": 3}, "nc": 101, "args": {"model": 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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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- 0, 1.9846, 3.8123, 1.6866, 0.58217, 0.13965, 0.09555, 0.05082, 1.5179, 2.7534, 1.386, 0.070106, 0.0033216, 0.0033216
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- 1, 1.7492, 2.3327, 1.5101, 0.58472, 0.25563, 0.22446, 0.09844, 1.7102, 2.1199, 1.4221, 0.039842, 0.0063914, 0.0063914
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- 6, 1.6042, 1.4341, 1.4598, 0.58473, 0.36149, 0.37976, 0.22127, 1.426, 1.6911, 1.3518, 0.00802, 0.00802, 0.00802
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- 8, 1.5401, 1.2969, 1.4072, 0.47913, 0.43966, 0.38148, 0.20616, 1.5746, 1.6429, 1.4164, 0.007228, 0.007228, 0.007228
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- 14, 1.3975, 0.99718, 1.3222, 0.53969, 0.41447, 0.40553, 0.24206, 1.4278, 1.6479, 1.3584, 0.004852, 0.004852, 0.004852
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- 15, 1.4139, 0.9154, 1.3855, 0.56002, 0.37968, 0.38384, 0.22039, 1.4582, 1.7692, 1.3899, 0.004456, 0.004456, 0.004456
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- 16, 1.3866, 0.8814, 1.3727, 0.51418, 0.42828, 0.39113, 0.2307, 1.4674, 1.7056, 1.3734, 0.00406, 0.00406, 0.00406
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- 17, 1.3485, 0.83829, 1.3446, 0.48071, 0.42073, 0.40619, 0.24107, 1.4112, 1.6969, 1.3608, 0.003664, 0.003664, 0.003664
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- 18, 1.3321, 0.80438, 1.338, 0.49051, 0.438, 0.39579, 0.22756, 1.4487, 1.701, 1.3721, 0.003268, 0.003268, 0.003268
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- 19, 1.3057, 0.7744, 1.3178, 0.49755, 0.41826, 0.40228, 0.23341, 1.447, 1.7003, 1.375, 0.002872, 0.002872, 0.002872
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