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  1. yolov8_flejes/runs/detect/train/F1_curve.png +0 -0
  2. yolov8_flejes/runs/detect/train/PR_curve.png +0 -0
  3. yolov8_flejes/runs/detect/train/P_curve.png +0 -0
  4. yolov8_flejes/runs/detect/train/R_curve.png +0 -0
  5. yolov8_flejes/runs/detect/train/args.yaml +98 -0
  6. yolov8_flejes/runs/detect/train/confusion_matrix.png +0 -0
  7. yolov8_flejes/runs/detect/train/confusion_matrix_normalized.png +0 -0
  8. yolov8_flejes/runs/detect/train/events.out.tfevents.1704981438.c39c0cd0bf7e.1508.0 +3 -0
  9. yolov8_flejes/runs/detect/train/labels.jpg +0 -0
  10. yolov8_flejes/runs/detect/train/labels_correlogram.jpg +0 -0
  11. yolov8_flejes/runs/detect/train/model_artifacts.json +1 -0
  12. yolov8_flejes/runs/detect/train/results.csv +106 -0
  13. yolov8_flejes/runs/detect/train/results.png +0 -0
  14. yolov8_flejes/runs/detect/train/roboflow_deploy.zip +3 -0
  15. yolov8_flejes/runs/detect/train/state_dict.pt +3 -0
  16. yolov8_flejes/runs/detect/train/train_batch0.jpg +0 -0
  17. yolov8_flejes/runs/detect/train/train_batch1.jpg +0 -0
  18. yolov8_flejes/runs/detect/train/train_batch2.jpg +0 -0
  19. yolov8_flejes/runs/detect/train/val_batch0_labels.jpg +0 -0
  20. yolov8_flejes/runs/detect/train/val_batch0_pred.jpg +0 -0
  21. yolov8_flejes/runs/detect/train/val_batch1_labels.jpg +0 -0
  22. yolov8_flejes/runs/detect/train/val_batch1_pred.jpg +0 -0
  23. yolov8_flejes/runs/detect/train/val_batch2_labels.jpg +0 -0
  24. yolov8_flejes/runs/detect/train/val_batch2_pred.jpg +0 -0
  25. yolov8_flejes/runs/detect/train/weights/best.pt +3 -0
  26. yolov8_flejes/runs/detect/train/weights/last.pt +3 -0
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yolov8_flejes/runs/detect/train/args.yaml ADDED
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+ task: detect
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+ mode: train
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+ model: yolov8s.pt
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+ data: /content/datasets/flejes-7/data.yaml
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+ epochs: 300
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+ patience: 50
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+ iou: 0.7
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+ max_det: 300
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+ half: false
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+ plots: true
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+ show: false
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+ show_labels: true
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+ boxes: true
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+ format: torchscript
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+ keras: false
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+ int8: false
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+ dynamic: false
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+ simplify: false
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+ workspace: 4
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+ lr0: 0.01
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+ momentum: 0.937
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+ cfg: null
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+ tracker: botsort.yaml
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+ save_dir: runs/detect/train
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+ {"names": ["normal_price", "offert_precio_acuenta_all_picture", "offert_price_acuenta_red", "offert_price_acuenta_white", "offert_price_cugat_white", "offert_price_cugat_yellowhite", "offert_price_cugat_yellowhite_double", "offert_price_eltrebol_all_picture", "offert_price_eltrebol_white", "offert_price_eltrebol_yellow", "offert_price_ganga_small_white", "offert_price_ganga_white", "offert_price_hyperpat_veggies", "offert_price_hyperpat_white", "offert_price_jumbo_all_picture", "offert_price_jumbo_card", "offert_price_jumbo_mechanical_id", "offert_price_jumbo_puntos", "offert_price_jumbo_yellowhite", "offert_price_lider_all_picture", "offert_price_lider_small_red", "offert_price_lider_white", "offert_price_lider_yellow", "offert_price_sisa_all_picture", "offert_price_sisa_card", "offert_price_sisa_mechanic_id", "offert_price_sisa_points", "offert_price_sisa_veggies", "offert_price_sisa_yellowhite", "offert_price_super9_white", "offert_price_tottus_card", "offert_price_tottus_cmr_puntos", "offert_price_tottus_mechanical_id", "offert_price_tottus_small_white", "offert_price_tottus_white", "offert_price_tottus_yellow", "offert_price_tottus_yellow_double"], "yaml": {"nc": 37, "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": 37, "args": {"model": "yolov8s.pt", "batch": 8, "imgsz": 1280}, "ultralytics_version": "8.0.196", "model_type": "yolov8"}
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