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Browse files- yolov8_flejes/runs/detect/train/F1_curve.png +0 -0
- yolov8_flejes/runs/detect/train/PR_curve.png +0 -0
- yolov8_flejes/runs/detect/train/P_curve.png +0 -0
- yolov8_flejes/runs/detect/train/R_curve.png +0 -0
- yolov8_flejes/runs/detect/train/args.yaml +98 -0
- yolov8_flejes/runs/detect/train/confusion_matrix.png +0 -0
- yolov8_flejes/runs/detect/train/confusion_matrix_normalized.png +0 -0
- yolov8_flejes/runs/detect/train/events.out.tfevents.1704981438.c39c0cd0bf7e.1508.0 +3 -0
- yolov8_flejes/runs/detect/train/labels.jpg +0 -0
- yolov8_flejes/runs/detect/train/labels_correlogram.jpg +0 -0
- yolov8_flejes/runs/detect/train/model_artifacts.json +1 -0
- yolov8_flejes/runs/detect/train/results.csv +106 -0
- yolov8_flejes/runs/detect/train/results.png +0 -0
- yolov8_flejes/runs/detect/train/roboflow_deploy.zip +3 -0
- yolov8_flejes/runs/detect/train/state_dict.pt +3 -0
- yolov8_flejes/runs/detect/train/train_batch0.jpg +0 -0
- yolov8_flejes/runs/detect/train/train_batch1.jpg +0 -0
- yolov8_flejes/runs/detect/train/train_batch2.jpg +0 -0
- yolov8_flejes/runs/detect/train/val_batch0_labels.jpg +0 -0
- yolov8_flejes/runs/detect/train/val_batch0_pred.jpg +0 -0
- yolov8_flejes/runs/detect/train/val_batch1_labels.jpg +0 -0
- yolov8_flejes/runs/detect/train/val_batch1_pred.jpg +0 -0
- yolov8_flejes/runs/detect/train/val_batch2_labels.jpg +0 -0
- yolov8_flejes/runs/detect/train/val_batch2_pred.jpg +0 -0
- yolov8_flejes/runs/detect/train/weights/best.pt +3 -0
- yolov8_flejes/runs/detect/train/weights/last.pt +3 -0
yolov8_flejes/runs/detect/train/F1_curve.png
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yolov8_flejes/runs/detect/train/PR_curve.png
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yolov8_flejes/runs/detect/train/P_curve.png
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yolov8_flejes/runs/detect/train/R_curve.png
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yolov8_flejes/runs/detect/train/args.yaml
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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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batch: 8
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imgsz: 1280
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save: true
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save_period: -1
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cache: false
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device: null
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workers: 8
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project: null
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name: null
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| 16 |
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exist_ok: false
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| 17 |
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pretrained: true
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| 18 |
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optimizer: auto
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| 19 |
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verbose: true
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| 20 |
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seed: 0
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| 21 |
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deterministic: true
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| 22 |
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single_cls: 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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amp: true
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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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| 36 |
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save_json: false
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| 37 |
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save_hybrid: false
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| 38 |
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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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| 65 |
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simplify: false
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| 66 |
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opset: null
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workspace: 4
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| 68 |
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nms: false
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| 69 |
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lr0: 0.01
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| 70 |
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lrf: 0.01
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| 71 |
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momentum: 0.937
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| 72 |
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weight_decay: 0.0005
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| 73 |
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warmup_epochs: 3.0
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| 74 |
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warmup_momentum: 0.8
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| 75 |
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warmup_bias_lr: 0.1
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| 76 |
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box: 7.5
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| 77 |
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cls: 0.5
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| 78 |
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dfl: 1.5
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| 79 |
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pose: 12.0
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| 80 |
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kobj: 1.0
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| 81 |
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label_smoothing: 0.0
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| 82 |
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nbs: 64
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| 83 |
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hsv_h: 0.015
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| 84 |
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hsv_s: 0.7
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| 85 |
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hsv_v: 0.4
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| 86 |
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degrees: 0.0
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| 87 |
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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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| 96 |
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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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yolov8_flejes/runs/detect/train/confusion_matrix.png
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yolov8_flejes/runs/detect/train/confusion_matrix_normalized.png
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yolov8_flejes/runs/detect/train/events.out.tfevents.1704981438.c39c0cd0bf7e.1508.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2043c572d1c658b995049d0af182a879398fc51a0ff92d7351ebf2b62e8a61b4
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size 26233440
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yolov8_flejes/runs/detect/train/labels.jpg
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yolov8_flejes/runs/detect/train/labels_correlogram.jpg
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yolov8_flejes/runs/detect/train/model_artifacts.json
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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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yolov8_flejes/runs/detect/train/results.csv
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| 1 |
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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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| 2 |
+
1, 2.1821, 2.1874, 1.6136, 0.72339, 0.37822, 0.4278, 0.27433, 1.5412, 1.0194, 1.1652, 0.0033312, 0.0033312, 0.0033312
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| 3 |
+
2, 2.0071, 1.6041, 1.4113, 0.81616, 0.51885, 0.60652, 0.38499, 1.5774, 0.89362, 1.1648, 0.0066426, 0.0066426, 0.0066426
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| 4 |
+
3, 1.9465, 1.4757, 1.3591, 0.78461, 0.60174, 0.65179, 0.41148, 1.5321, 0.83393, 1.159, 0.0099319, 0.0099319, 0.0099319
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| 5 |
+
4, 1.9293, 1.4201, 1.3457, 0.83704, 0.61607, 0.67062, 0.42126, 1.55, 0.84706, 1.1844, 0.009901, 0.009901, 0.009901
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| 6 |
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5, 1.8867, 1.3371, 1.3232, 0.83864, 0.63881, 0.71662, 0.45952, 1.5029, 0.78389, 1.1686, 0.009901, 0.009901, 0.009901
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| 7 |
+
6, 1.8505, 1.2806, 1.3066, 0.83574, 0.59516, 0.68767, 0.43485, 1.5012, 0.78093, 1.1476, 0.009868, 0.009868, 0.009868
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| 8 |
+
7, 1.8295, 1.2444, 1.2959, 0.79753, 0.64435, 0.74725, 0.47627, 1.488, 0.77177, 1.1605, 0.009835, 0.009835, 0.009835
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| 9 |
+
8, 1.8151, 1.2128, 1.2855, 0.77765, 0.6584, 0.7741, 0.49647, 1.5034, 0.74794, 1.1612, 0.009802, 0.009802, 0.009802
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| 10 |
+
9, 1.7934, 1.1806, 1.2748, 0.79116, 0.65991, 0.74162, 0.4811, 1.4702, 0.69864, 1.146, 0.009769, 0.009769, 0.009769
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| 11 |
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10, 1.7729, 1.1434, 1.263, 0.8161, 0.69388, 0.76357, 0.51043, 1.4804, 0.72759, 1.1464, 0.009736, 0.009736, 0.009736
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| 12 |
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11, 1.755, 1.1155, 1.2516, 0.74651, 0.7397, 0.77584, 0.52473, 1.4597, 0.68178, 1.1492, 0.009703, 0.009703, 0.009703
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| 13 |
+
12, 1.74, 1.0935, 1.2484, 0.84662, 0.69638, 0.79145, 0.50948, 1.4843, 0.6549, 1.1531, 0.00967, 0.00967, 0.00967
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| 14 |
+
13, 1.734, 1.0795, 1.242, 0.80808, 0.78071, 0.79991, 0.52202, 1.4624, 0.66933, 1.1403, 0.009637, 0.009637, 0.009637
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| 15 |
+
14, 1.7233, 1.0632, 1.2362, 0.85492, 0.66786, 0.77555, 0.52211, 1.468, 0.64873, 1.1613, 0.009604, 0.009604, 0.009604
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| 16 |
+
15, 1.7115, 1.0543, 1.231, 0.81353, 0.75697, 0.79616, 0.52146, 1.4681, 0.66176, 1.1505, 0.009571, 0.009571, 0.009571
|
| 17 |
+
16, 1.6999, 1.0326, 1.2184, 0.71578, 0.84258, 0.82776, 0.55826, 1.4684, 0.62904, 1.1411, 0.009538, 0.009538, 0.009538
|
| 18 |
+
17, 1.6995, 1.0286, 1.2153, 0.85488, 0.74016, 0.81371, 0.52486, 1.4655, 0.64728, 1.1412, 0.009505, 0.009505, 0.009505
|
| 19 |
+
18, 1.6872, 1.0149, 1.2097, 0.90697, 0.74092, 0.83214, 0.54951, 1.4682, 0.62889, 1.1507, 0.009472, 0.009472, 0.009472
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| 20 |
+
19, 1.6806, 1.0008, 1.2079, 0.81552, 0.73492, 0.79641, 0.52095, 1.4653, 0.62296, 1.1496, 0.009439, 0.009439, 0.009439
|
| 21 |
+
20, 1.671, 0.99331, 1.1999, 0.81341, 0.81481, 0.83044, 0.55173, 1.4765, 0.61341, 1.1537, 0.009406, 0.009406, 0.009406
|
| 22 |
+
21, 1.6661, 0.98738, 1.1969, 0.70612, 0.8153, 0.83848, 0.55088, 1.4718, 0.62965, 1.1483, 0.009373, 0.009373, 0.009373
|
| 23 |
+
22, 1.6564, 0.9724, 1.1957, 0.72937, 0.85789, 0.84591, 0.56428, 1.4835, 0.61012, 1.1556, 0.00934, 0.00934, 0.00934
|
| 24 |
+
23, 1.6502, 0.96508, 1.1923, 0.80973, 0.8227, 0.84769, 0.56026, 1.4784, 0.60633, 1.1546, 0.009307, 0.009307, 0.009307
|
| 25 |
+
24, 1.6429, 0.95333, 1.1871, 0.88193, 0.75773, 0.8027, 0.5406, 1.4782, 0.59425, 1.1606, 0.009274, 0.009274, 0.009274
|
| 26 |
+
25, 1.6409, 0.94624, 1.1863, 0.83248, 0.77252, 0.80102, 0.54703, 1.4783, 0.59313, 1.1581, 0.009241, 0.009241, 0.009241
|
| 27 |
+
26, 1.64, 0.94099, 1.1876, 0.88257, 0.77192, 0.82882, 0.54874, 1.482, 0.59161, 1.1539, 0.009208, 0.009208, 0.009208
|
| 28 |
+
27, 1.6289, 0.93206, 1.1828, 0.86167, 0.76113, 0.8528, 0.57476, 1.4805, 0.58278, 1.1584, 0.009175, 0.009175, 0.009175
|
| 29 |
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