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  1. blender_data-29/runs/detect/train/F1_curve.png +0 -0
  2. blender_data-29/runs/detect/train/PR_curve.png +0 -0
  3. blender_data-29/runs/detect/train/P_curve.png +0 -0
  4. blender_data-29/runs/detect/train/R_curve.png +0 -0
  5. blender_data-29/runs/detect/train/args.yaml +0 -98
  6. blender_data-29/runs/detect/train/confusion_matrix.png +0 -0
  7. blender_data-29/runs/detect/train/confusion_matrix_normalized.png +0 -0
  8. blender_data-29/runs/detect/train/labels.jpg +0 -0
  9. blender_data-29/runs/detect/train/labels_correlogram.jpg +0 -0
  10. blender_data-29/runs/detect/train/model_artifacts.json +0 -1
  11. blender_data-29/runs/detect/train/results.csv +0 -99
  12. blender_data-29/runs/detect/train/results.png +0 -0
  13. blender_data-29/runs/detect/train/roboflow_deploy.zip +0 -3
  14. blender_data-29/runs/detect/train/state_dict.pt +0 -3
  15. blender_data-29/runs/detect/train/train_batch0.jpg +0 -0
  16. blender_data-29/runs/detect/train/train_batch1.jpg +0 -3
  17. blender_data-29/runs/detect/train/train_batch2.jpg +0 -0
  18. blender_data-29/runs/detect/train/val_batch0_labels.jpg +0 -0
  19. blender_data-29/runs/detect/train/val_batch0_pred.jpg +0 -0
  20. blender_data-29/runs/detect/train/val_batch1_labels.jpg +0 -0
  21. blender_data-29/runs/detect/train/val_batch1_pred.jpg +0 -0
  22. blender_data-29/runs/detect/train/val_batch2_labels.jpg +0 -0
  23. blender_data-29/runs/detect/train/val_batch2_pred.jpg +0 -0
  24. blender_data-29/runs/detect/train/weights/best.pt +0 -3
  25. blender_data-29/runs/detect/train/weights/last.pt +0 -3
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blender_data-29/runs/detect/train/args.yaml DELETED
@@ -1,98 +0,0 @@
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- task: detect
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- mode: train
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- model: yolov8m.pt
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- data: /home/ec2-user/SageMaker/datasets/blender_data-29/data.yaml
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- epochs: 300
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- patience: 50
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- batch: 4
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- imgsz: 1280
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- save: true
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- cache: false
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- exist_ok: false
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- close_mosaic: 10
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- resume: false
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- fraction: 1.0
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- profile: false
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- freeze: null
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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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- lr0: 0.01
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- weight_decay: 0.0005
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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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- flipud: 0.0
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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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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blender_data-29/runs/detect/train/model_artifacts.json DELETED
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- {"names": ["AVENA TRADICIONAL QUAKER 700 GRS -ID-", "Carozzi Fideos Cabellos de angel Bolsa 400 g -ID- 23", "Copihue Pack Cajas Fosforos 10 Un 38 Un aprox cu -ID- 811", "Harina Sin Polvos Selecta 1 Kg -ID-", "Ketchup Heinz 900ml -ID-", "Lavaloza Quix Bio-Activos Limon 750 Ml -ID-", "Leche Entera Soprole 1 Lt -ID-", "Lucchetti Fideos Espirales Trisabor Bolsa 400 g -ID- 536", "Mildred Te Ceylan Caja 200 g -ID- 704", "SAL DE MESA LOBOS 1 KG -ID-", "San Jose Jurel Natural Abre Facil 425 g -ID- 225", "Suavizante Soft Liquido Classic 1 L -ID- 1672", "Sucedaneo De Limon Traverso 500 Cc -ID-", "Supremo Te Ceylan Premium Caja 100 Un -ID- 146", "Triton Galletas Triton Naranja 126 g -ID- 312", "Triton Galletas Triton Vainilla 126 g -ID- 94", "Tucapel Arroz Grado 2 Seleccion Bolsa 1 kg -ID- 6", "Watts Nectar Sabor Tutti-Frutilla 1 1_5 L -ID- 108", "Watts Nectar de Damasco 1_5 L -ID- 360", "Watts Nectar de Pina 1-5 L -ID- 366", "Yoghurt batido Colun Vainilla 125gr -ID-"], "yaml": {"nc": 21, "depth_multiple": 0.67, "width_multiple": 0.75, "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", [768, 3, 2]], [-1, 3, "C2f", [768, true]], [-1, 1, "SPPF", [768, 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", [768]], [[15, 18, 21], 1, "Detect", ["nc"]]], "ch": 3}, "nc": 21, "args": {"model": "yolov8m.pt", "batch": 4, "imgsz": 1280}, "ultralytics_version": "8.0.196", "model_type": "yolov8"}
 
 
blender_data-29/runs/detect/train/results.csv DELETED
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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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- 65, 0.36759, 0.26408, 0.84315, 0.45254, 0.4313, 0.3498, 0.21013, 2.0295, 3.9646, 2.2983, 0.00031684, 0.00031684, 0.00031684
67
- 66, 0.34277, 0.24677, 0.83425, 0.37354, 0.44618, 0.35108, 0.20958, 2.0073, 3.5345, 2.2755, 0.00031552, 0.00031552, 0.00031552
68
- 67, 0.34672, 0.25191, 0.83416, 0.36368, 0.41007, 0.3548, 0.21493, 2.0116, 4.0481, 2.3402, 0.0003142, 0.0003142, 0.0003142
69
- 68, 0.33881, 0.24547, 0.83505, 0.38061, 0.45184, 0.35716, 0.21313, 2.0078, 3.6342, 2.3063, 0.00031288, 0.00031288, 0.00031288
70
- 69, 0.33177, 0.23826, 0.82183, 0.34939, 0.43448, 0.32796, 0.19444, 2.0648, 3.6867, 2.3585, 0.00031156, 0.00031156, 0.00031156
71
- 70, 0.35316, 0.2491, 0.82865, 0.34432, 0.38459, 0.32218, 0.18972, 2.0602, 3.6994, 2.3452, 0.00031024, 0.00031024, 0.00031024
72
- 71, 0.3475, 0.24473, 0.82905, 0.35061, 0.45614, 0.33889, 0.19789, 2.0707, 3.8044, 2.3847, 0.00030892, 0.00030892, 0.00030892
73
- 72, 0.36065, 0.24706, 0.8353, 0.35583, 0.46191, 0.33835, 0.20168, 1.9473, 3.9564, 2.2579, 0.0003076, 0.0003076, 0.0003076
74
- 73, 0.3457, 0.24493, 0.83443, 0.413, 0.46761, 0.36484, 0.21995, 1.9216, 3.7215, 2.2006, 0.00030628, 0.00030628, 0.00030628
75
- 74, 0.33913, 0.24071, 0.82409, 0.41735, 0.43612, 0.34349, 0.20403, 1.9998, 3.8952, 2.3068, 0.00030496, 0.00030496, 0.00030496
76
- 75, 0.33045, 0.23385, 0.82174, 0.34141, 0.47733, 0.33473, 0.20006, 1.9616, 4.076, 2.2509, 0.00030364, 0.00030364, 0.00030364
77
- 76, 0.32356, 0.23218, 0.82334, 0.38318, 0.44609, 0.36363, 0.21643, 1.9841, 3.7672, 2.2726, 0.00030232, 0.00030232, 0.00030232
78
- 77, 0.33336, 0.2363, 0.82342, 0.36669, 0.46747, 0.37235, 0.22405, 1.9658, 3.9411, 2.2339, 0.000301, 0.000301, 0.000301
79
- 78, 0.35609, 0.24529, 0.82998, 0.37956, 0.50407, 0.38378, 0.22466, 1.9109, 4.0312, 2.2064, 0.00029968, 0.00029968, 0.00029968
80
- 79, 0.34938, 0.24804, 0.8287, 0.46451, 0.46723, 0.38365, 0.22882, 1.9205, 3.5121, 2.1803, 0.00029836, 0.00029836, 0.00029836
81
- 80, 0.32867, 0.23208, 0.82483, 0.40285, 0.50413, 0.36622, 0.21936, 1.933, 3.3208, 2.2168, 0.00029704, 0.00029704, 0.00029704
82
- 81, 0.32611, 0.23216, 0.82549, 0.383, 0.46733, 0.38041, 0.22612, 1.9033, 3.4809, 2.1995, 0.00029572, 0.00029572, 0.00029572
83
- 82, 0.33795, 0.23674, 0.82298, 0.36263, 0.49409, 0.37846, 0.23017, 2.0153, 3.5829, 2.3238, 0.0002944, 0.0002944, 0.0002944
84
- 83, 0.32592, 0.22824, 0.82383, 0.45353, 0.49286, 0.40704, 0.24548, 1.8907, 3.632, 2.2556, 0.00029308, 0.00029308, 0.00029308
85
- 84, 0.31379, 0.22869, 0.82174, 0.37392, 0.5043, 0.38437, 0.24162, 1.8725, 3.8535, 2.2114, 0.00029176, 0.00029176, 0.00029176
86
- 85, 0.32175, 0.2287, 0.81924, 0.34644, 0.47316, 0.36489, 0.22679, 1.8866, 3.6094, 2.1893, 0.00029044, 0.00029044, 0.00029044
87
- 86, 0.3126, 0.2239, 0.82236, 0.35642, 0.47472, 0.36785, 0.22486, 1.9172, 3.4468, 2.2602, 0.00028912, 0.00028912, 0.00028912
88
- 87, 0.33796, 0.23948, 0.82638, 0.33096, 0.45933, 0.34692, 0.21011, 1.9556, 3.695, 2.2791, 0.0002878, 0.0002878, 0.0002878
89
- 88, 0.32398, 0.231, 0.8242, 0.3998, 0.43442, 0.3436, 0.20898, 1.9222, 3.8738, 2.2655, 0.00028648, 0.00028648, 0.00028648
90
- 89, 0.32953, 0.23731, 0.82794, 0.41194, 0.45445, 0.34951, 0.21288, 1.9364, 3.8839, 2.2123, 0.00028516, 0.00028516, 0.00028516
91
- 90, 0.33818, 0.23887, 0.82712, 0.38309, 0.47201, 0.3563, 0.21723, 1.8942, 3.5157, 2.1923, 0.00028384, 0.00028384, 0.00028384
92
- 91, 0.33817, 0.23916, 0.82471, 0.37115, 0.47856, 0.3677, 0.22534, 1.9206, 3.7495, 2.2067, 0.00028252, 0.00028252, 0.00028252
93
- 92, 0.30746, 0.2204, 0.81511, 0.41337, 0.48853, 0.38436, 0.23793, 1.9158, 3.3119, 2.2045, 0.0002812, 0.0002812, 0.0002812
94
- 93, 0.32205, 0.22693, 0.82014, 0.42726, 0.4339, 0.35789, 0.2161, 1.9268, 3.2917, 2.2452, 0.00027988, 0.00027988, 0.00027988
95
- 94, 0.2972, 0.21774, 0.81642, 0.38111, 0.52191, 0.35675, 0.21237, 1.8947, 3.686, 2.2377, 0.00027856, 0.00027856, 0.00027856
96
- 95, 0.32294, 0.22957, 0.82239, 0.41481, 0.50092, 0.3848, 0.22727, 1.9184, 3.5746, 2.2383, 0.00027724, 0.00027724, 0.00027724
97
- 96, 0.31612, 0.22645, 0.82021, 0.3793, 0.47952, 0.37292, 0.22048, 1.9126, 3.3464, 2.236, 0.00027592, 0.00027592, 0.00027592
98
- 97, 0.31757, 0.22508, 0.81672, 0.36189, 0.46282, 0.35399, 0.20533, 2.0097, 3.8115, 2.399, 0.0002746, 0.0002746, 0.0002746
99
- 98, 0.31277, 0.22137, 0.81856, 0.32361, 0.48973, 0.3481, 0.20856, 2.0474, 3.6429, 2.4017, 0.00027328, 0.00027328, 0.00027328
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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