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Browse files- .gitattributes +2 -0
- 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 +91 -0
- yolov8_cervezas/runs/detect/train/confusion_matrix.png +3 -0
- yolov8_cervezas/runs/detect/train/events.out.tfevents.1689920362.32b5887bfb38.1853.0 +3 -0
- yolov8_cervezas/runs/detect/train/model_artifacts.json +1 -0
- yolov8_cervezas/runs/detect/train/results.csv +26 -0
- yolov8_cervezas/runs/detect/train/results.png +0 -0
- yolov8_cervezas/runs/detect/train/roboflow_deploy.zip +3 -0
- yolov8_cervezas/runs/detect/train/state_dict.pt +3 -0
- 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 +3 -0
- yolov8_cervezas/runs/detect/train/weights/last.pt +3 -0
- 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 +3 -0
- 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
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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yolov8_cervezas/runs/detect/train/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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yolov8_cervezas/runs/detect/val/confusion_matrix.png filter=lfs diff=lfs merge=lfs -text
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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/P_curve.png
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yolov8_cervezas/runs/detect/train/R_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
ADDED
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Git LFS Details
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yolov8_cervezas/runs/detect/train/events.out.tfevents.1689920362.32b5887bfb38.1853.0
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size 1086286
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yolov8_cervezas/runs/detect/train/model_artifacts.json
ADDED
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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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