Delete yolov8_cervezas
Browse files- yolov8_cervezas/runs/detect/train/F1_curve.png +0 -0
- yolov8_cervezas/runs/detect/train/PR_curve.png +0 -0
- yolov8_cervezas/runs/detect/train/P_curve.png +0 -0
- yolov8_cervezas/runs/detect/train/R_curve.png +0 -0
- yolov8_cervezas/runs/detect/train/args.yaml +0 -91
- yolov8_cervezas/runs/detect/train/confusion_matrix.png +0 -3
- yolov8_cervezas/runs/detect/train/events.out.tfevents.1689920362.32b5887bfb38.1853.0 +0 -3
- yolov8_cervezas/runs/detect/train/model_artifacts.json +0 -1
- yolov8_cervezas/runs/detect/train/results.csv +0 -26
- yolov8_cervezas/runs/detect/train/results.png +0 -0
- yolov8_cervezas/runs/detect/train/roboflow_deploy.zip +0 -3
- yolov8_cervezas/runs/detect/train/state_dict.pt +0 -3
- yolov8_cervezas/runs/detect/train/train_batch0.jpg +0 -0
- yolov8_cervezas/runs/detect/train/train_batch1.jpg +0 -0
- yolov8_cervezas/runs/detect/train/train_batch2.jpg +0 -0
- yolov8_cervezas/runs/detect/train/train_batch4140.jpg +0 -0
- yolov8_cervezas/runs/detect/train/train_batch4141.jpg +0 -0
- yolov8_cervezas/runs/detect/train/train_batch4142.jpg +0 -0
- yolov8_cervezas/runs/detect/train/val_batch0_labels.jpg +0 -0
- yolov8_cervezas/runs/detect/train/val_batch0_pred.jpg +0 -0
- yolov8_cervezas/runs/detect/train/val_batch1_labels.jpg +0 -0
- yolov8_cervezas/runs/detect/train/val_batch1_pred.jpg +0 -0
- yolov8_cervezas/runs/detect/train/val_batch2_labels.jpg +0 -0
- yolov8_cervezas/runs/detect/train/val_batch2_pred.jpg +0 -0
- yolov8_cervezas/runs/detect/train/weights/best.pt +0 -3
- yolov8_cervezas/runs/detect/train/weights/last.pt +0 -3
- yolov8_cervezas/runs/detect/val/F1_curve.png +0 -0
- yolov8_cervezas/runs/detect/val/PR_curve.png +0 -0
- yolov8_cervezas/runs/detect/val/P_curve.png +0 -0
- yolov8_cervezas/runs/detect/val/R_curve.png +0 -0
- yolov8_cervezas/runs/detect/val/confusion_matrix.png +0 -3
- yolov8_cervezas/runs/detect/val/val_batch0_labels.jpg +0 -0
- yolov8_cervezas/runs/detect/val/val_batch0_pred.jpg +0 -0
- yolov8_cervezas/runs/detect/val/val_batch1_labels.jpg +0 -0
- yolov8_cervezas/runs/detect/val/val_batch1_pred.jpg +0 -0
- yolov8_cervezas/runs/detect/val/val_batch2_labels.jpg +0 -0
- yolov8_cervezas/runs/detect/val/val_batch2_pred.jpg +0 -0
yolov8_cervezas/runs/detect/train/F1_curve.png
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yolov8_cervezas/runs/detect/train/PR_curve.png
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yolov8_cervezas/runs/detect/train/args.yaml
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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/cervezas-17/data.yaml
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epochs: 25
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patience: 50
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batch: 8
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imgsz: 800
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save: true
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cache: false
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device: ''
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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: false
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optimizer: SGD
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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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image_weights: 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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overlap_mask: true
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mask_ratio: 4
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dropout: false
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val: true
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save_json: false
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save_hybrid: false
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conf: 0.001
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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: ultralytics/assets/
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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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hide_labels: false
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hide_conf: false
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vid_stride: 1
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line_thickness: 3
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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: 17
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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: 0.001
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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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fl_gamma: 0.0
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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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v5loader: false
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save_dir: runs/detect/train
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yolov8_cervezas/runs/detect/train/confusion_matrix.png
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yolov8_cervezas/runs/detect/train/events.out.tfevents.1689920362.32b5887bfb38.1853.0
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version https://git-lfs.github.com/spec/v1
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size 1086286
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yolov8_cervezas/runs/detect/train/model_artifacts.json
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{"names": ["Austral Pack Cerveza Calafate Ale Botellas 4 Un -ID- 1406", "Becker Pack Cerveza Lager Latas 12 Un 354 ml c-u -ID- 1473", "Budlight Cerveza Lata 12 Un 355 ml c-u -ID- 1304", "Budweiser Cerveza Lager Botella 355 ml c-u Pack 6 -ID- 20", "Cerveza Ale Gran Torobayo Botella -ID- 4870", "Cerveza Austral Calafate botella 330 cc -ID- 4853", "Cerveza Austral Lager 4-6- botella 330 cc -ID- 4862", "Cerveza Coors Stubby 5- botella 355 cc -ID- 4856", "Cerveza Cusquena lata de 354 cc -ID- 1116", "Cerveza Escudo silver lata de 350 cc -ID- 1401", "Cerveza Kunstmann Ale Miel botella 330 cc -ID- 4850", "Cerveza Kunstmann Negra Bock 5-3- botella 330 cc -ID- 4851", "Cerveza Kunstmann Rubia Lager 4-3- botella 330 cc -ID- 4849", "Cerveza Kunstmann Torobayo botella 330 cc -ID- 4854", "Cerveza Lager Lata 350 cc Escudo -ID- 4876", "Cerveza Lager Lata 350 cc Royal Guard -ID- 4868", "Cerveza Patagonia austral hoppy lager lata 470 cc -ID- 1252", "Cerveza Patagonia austral red lager lata 470 cc -ID- 1403", "Cerveza Rubia Botellin -ID- 4874", "Cerveza Sol 710 cc Botella -ID- 1180", "Cerveza Stones Maracuya 350 cc -ID- 4857", "Cristal Pack Cerveza Lager Latas 12 Latas 350 ml c-u -ID- 18", "Cristal Pack Cerveza Lager Latas 6 Latas 350 ml c-u -ID- 921", "Heineken Pack Cerveza Premium Lager Botellas 6 Un x 330 ml c-u -ID- 15", "Kunstmann Pack Cerveza Bock Botellas 4 Un x 330 ml c-u -ID- 898", "Kunstmann Pack Cerveza Honig Ale Sabor Miel Botellas 4 Un x 330 ml c-u -ID- 1052", "Pack 12 latas 354cc c-u Cerveza Lager Budweiser -ID- 4865", "Pack 12 un- Cerveza Escudo Silver lata 350 cc -ID- 4852", "Pack 4 un- Cerveza Kilometro 24-7 Amber Lager Botellin 355 cc -ID- 4859", "Pack 6 un- Cerveza Cusquena Golden Lager botella 330 cc -ID- 4861", "Pack Cerveza Ale Torobayo Botellas -ID- 4866", "Pack Cerveza Botellas -ID- 4871", "Pack Cerveza Corona Extra botella 12 un de 330 cc -ID- 511", "Pack Cerveza Corona extra botella 6 un de 330 cc -ID- 647", "Pack Cerveza Cusquena lata 6 un de 354 cc -ID- 447", "Pack Cerveza Escudo silver lata 6 un de 350 cc -ID- 649", "Pack Cerveza Estrella Damm Botella -ID- 4864", "Pack Cerveza Heineken cero botella 6 un de 330 cc -ID- 513", "Pack Cerveza Kross Golden Ale Botellas -ID- 4872", "Pack Cerveza Kunstmann lager rubia long neck botella 4 un de 330 cc -ID- 415", "Pack Cerveza Kunstmann torobayo ale long neck botella 4 un de 330 cc -ID- 653", "Pack Cerveza Lager Latas -ID- 4869", "Pack Cerveza Premium Lager Latas -ID- 4873", "Pack Cerveza Stones red citrus lata 6 un de 350 cc -ID- 655", "Royal Guard Pack Cerveza Lager Botellas 6 Un -ID- 165", "Royal Guard Pack Cerveza Lager Latas 12 Un -ID- 167", "Royal Guard Pack Cerveza Lager Latas 6 Un -ID- 169", "Sol Pack Cerveza Botellas 6 Un x 330ml c-u -ID- 5", "Stella Artois Pack Cerveza Premium Lager Botellas 6 Un 330 ml c-u -ID- 242", "Stones Pack Cerveza Lemon Stones Latas 6 Un -ID- 132", "Stones Pack Cerveza Maracuya Stones Latas 6 Un -ID- 244"], "yaml": {"nc": 51, "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": 51, "args": {"model": "yolov8s.yaml", "batch": 8, "imgsz": 800}, "ultralytics_version": "8.0.20", "model_type": "yolov8"}
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yolov8_cervezas/runs/detect/train/results.csv
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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, 1.7941, 3.0954, 1.6858, 0.62143, 0.44398, 0.39314, 0.22757, 1.4819, 1.5983, 1.4522, 0.070109, 0.0033213, 0.0033213
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1, 1.602, 1.5076, 1.5114, 0.60914, 0.55624, 0.54292, 0.33888, 1.3726, 1.2581, 1.3386, 0.039845, 0.0063911, 0.0063911
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2, 1.5512, 1.2601, 1.436, 0.58576, 0.5878, 0.56704, 0.35079, 1.4147, 1.3273, 1.3014, 0.0093177, 0.0091969, 0.0091969
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3, 1.5278, 1.1187, 1.3854, 0.51837, 0.65134, 0.58987, 0.35539, 1.5126, 1.2727, 1.3606, 0.008812, 0.008812, 0.008812
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4, 1.529, 1.0544, 1.3807, 0.62991, 0.62857, 0.62793, 0.38741, 1.4524, 1.169, 1.3006, 0.008812, 0.008812, 0.008812
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5, 1.474, 0.96641, 1.3453, 0.59303, 0.67326, 0.63688, 0.39251, 1.3974, 1.1304, 1.303, 0.008416, 0.008416, 0.008416
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6, 1.4288, 0.91315, 1.3162, 0.6136, 0.65097, 0.62708, 0.38206, 1.4569, 1.1612, 1.3202, 0.00802, 0.00802, 0.00802
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7, 1.3835, 0.87426, 1.2958, 0.55166, 0.65584, 0.62985, 0.39791, 1.3715, 1.1307, 1.2808, 0.007624, 0.007624, 0.007624
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8, 1.358, 0.83918, 1.2758, 0.66255, 0.6101, 0.60856, 0.3895, 1.3583, 1.1662, 1.276, 0.007228, 0.007228, 0.007228
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9, 1.3459, 0.79798, 1.2749, 0.65593, 0.63136, 0.60205, 0.3809, 1.3873, 1.1541, 1.2759, 0.006832, 0.006832, 0.006832
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10, 1.3094, 0.77023, 1.252, 0.67174, 0.63914, 0.621, 0.40207, 1.3603, 1.1257, 1.2759, 0.006436, 0.006436, 0.006436
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11, 1.2831, 0.74402, 1.231, 0.67736, 0.60983, 0.64077, 0.41906, 1.3496, 1.0929, 1.2746, 0.00604, 0.00604, 0.00604
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12, 1.2463, 0.71775, 1.2185, 0.66891, 0.64215, 0.63035, 0.4118, 1.3371, 1.0946, 1.2563, 0.005644, 0.005644, 0.005644
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13, 1.2241, 0.69014, 1.2014, 0.67864, 0.60648, 0.61178, 0.40364, 1.3154, 1.1224, 1.2427, 0.005248, 0.005248, 0.005248
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14, 1.1954, 0.67379, 1.1878, 0.63772, 0.61025, 0.61485, 0.40395, 1.333, 1.1236, 1.2526, 0.004852, 0.004852, 0.004852
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15, 1.2075, 0.63491, 1.2358, 0.61974, 0.60931, 0.61404, 0.39728, 1.3387, 1.206, 1.2594, 0.004456, 0.004456, 0.004456
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16, 1.1673, 0.61471, 1.2061, 0.63859, 0.57755, 0.61267, 0.3933, 1.3536, 1.1634, 1.2811, 0.00406, 0.00406, 0.00406
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17, 1.1448, 0.58285, 1.1952, 0.56192, 0.64092, 0.60069, 0.39587, 1.3233, 1.206, 1.2572, 0.003664, 0.003664, 0.003664
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18, 1.1118, 0.56382, 1.1747, 0.58312, 0.62803, 0.62311, 0.40778, 1.3374, 1.1746, 1.2685, 0.003268, 0.003268, 0.003268
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19, 1.0897, 0.53844, 1.1627, 0.65534, 0.59723, 0.61841, 0.40251, 1.3346, 1.1502, 1.2605, 0.002872, 0.002872, 0.002872
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20, 1.0631, 0.52095, 1.1359, 0.71673, 0.55333, 0.6012, 0.39408, 1.3492, 1.1714, 1.2629, 0.002476, 0.002476, 0.002476
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21, 1.0436, 0.50056, 1.1344, 0.55823, 0.63914, 0.61904, 0.40854, 1.3178, 1.1889, 1.2498, 0.00208, 0.00208, 0.00208
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22, 1.0173, 0.48338, 1.1219, 0.69252, 0.56299, 0.61538, 0.4138, 1.3138, 1.1915, 1.2478, 0.001684, 0.001684, 0.001684
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23, 0.99466, 0.47178, 1.1099, 0.63013, 0.61685, 0.60369, 0.40058, 1.3124, 1.1912, 1.2501, 0.001288, 0.001288, 0.001288
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24, 0.96522, 0.45654, 1.0895, 0.67673, 0.565, 0.6105, 0.40647, 1.3127, 1.183, 1.2547, 0.000892, 0.000892, 0.000892
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yolov8_cervezas/runs/detect/train/results.png
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yolov8_cervezas/runs/detect/train/roboflow_deploy.zip
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